Danilo P. Mandic

发表

Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, 2020, IEEE Signal Processing Magazine.

Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models pdf

Danilo P. Mandic, Zeyang Yu, Shengxi Li, 2019, ICANN.

Performance analysis of the deficient length augmented CLMS algorithm for second order noncircular complex signals

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2018, Signal Process..

Ear-EEG from generic earpieces: A feasibility study

Preben Kidmose, Danilo P. Mandic, David Looney, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An adaptive approach for the identification of improper complex signals

Danilo P. Mandic, Scott C. Douglas, Beth Jelfs, 2012, Signal Process..

Complex-valued prediction of wind profile using augmented complex statistics

Kazuyuki Aihara, Danilo P. Mandic, Anthony Kuh, 2009 .

Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms pdf

Danilo P. Mandic, Shoji Makino, Moonjeong Chang, 2013, ArXiv.

A Class of Normalised Algorithms for Online Training of Recurrent Neural Networks

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

Towards Model-Independent Mode Detection and Characterisation of Very Long Biomedical Time Series

Danilo P. Mandic, Marc M. Van Hulle, Karl Pauwels, 2004 .

An analysis of the CCA approach for blind source separation and its adaptive realization

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2006, 2006 IEEE International Symposium on Circuits and Systems.

The widely linear quaternion recursive least squares filter

Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

Smart Helmet: Wearable Multichannel ECG and EEG

Danilo P. Mandic, David Looney, Theerasak Chanwimalueang, 2016, IEEE Journal of Translational Engineering in Health and Medicine.

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method

Naotaka Fujii, Liqing Zhang, Andrzej Cichocki, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

Smart helmet: Monitoring brain, cardiac and respiratory activity

Danilo P. Mandic, Theerasak Chanwimalueang, Valentin Goverdovsky, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals

Danilo P. Mandic, Stefan Werner, Vinay Chakravarthi Gogineni, 2020, IEEE Signal Processing Letters.

Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems

Danilo P. Mandic, Yili Xia, Zoran Blazic, 2015, IEEE Transactions on Instrumentation and Measurement.

Multikernel Least Mean Square Algorithm

Sun-Yuan Kung, Danilo P. Mandic, Felipe A. Tobar, 2014, IEEE Transactions on Neural Networks and Learning Systems.

A Probabilistic Spectral Analysis of Multivariate Real-Valued Nonstationary Signals

Ljubisa Stankovic, Danilo P. Mandic, Bruno Scalzo, 2020, 2007.13855.

A Novel Multivariate Sample Entropy Algorithm for Modeling Time Series Synchronization

Danilo P. Mandic, David Looney, Tricia Adjei, 2018, Entropy.

Multimodal physiological sensor for motion artefact rejection

Preben Kidmose, Danilo P. Mandic, David Looney, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Knowledge-Based Intelligent Information and Engineering Systems

Allan Kardec Barros, Andrzej Cichocki, Danilo P. Mandic, 2006 .

A Multimodal Approach to Communicative Interactivity Classification

Allan Kardec Barros, Danilo P. Mandic, Tomasz M. Rutkowski, 2007, J. VLSI Signal Process..

Data‐Reusing Adaptive Learning Algorithms

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2002 .

The ClassA Framework: HRV Based Assessment of SNS and PNS Dynamics Without LF-HF Controversies

Danilo P. Mandic, Theerasak Chanwimalueang, Wilhelm von Rosenberg, 2019, Front. Physiol..

Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm

Danilo P. Mandic, Nurettin Acır, Engin Cemal Mengüç, 2020, IEEE Transactions on Signal Processing.

Kalman filtering for widely linear complex and quaternion valued bearings only tracking

Danilo P. Mandic, Cyrus Jahanchahi, Dahir H. Dini, 2012, IET Signal Process..

A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification

Danilo P. Mandic, Igor R. Krcmar, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks

Akira Hirose, Danilo P. Mandic, Igor N. Aizenberg, 2014, IEEE Trans. Neural Networks Learn. Syst..

Multi-Graph Tensor Networks pdf

Danilo P. Mandic, Yao Lei Xu, Kriton Konstantinidis, 2020, ArXiv.

Online Detection of the Modality of Complex-Valued Real World Signals

Mo Chen, Danilo P. Mandic, Phebe Vayanos, 2008, Int. J. Neural Syst..

A hierarchical feedforward adaptive filter for system identification

Anthony G. Constantinides, Danilo P. Mandic, Christos Boukis, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

A Regularised Normalised Augmented Complex Least Mean Square algorithm

Danilo P. Mandic, Yili Xia, Soroush Javidi, 2010, 2010 7th International Symposium on Wireless Communication Systems.

Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2001 .

A Data-Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex-Valued Neural Adaptive Filters

Danilo P. Mandic, Andrew I. Hanna, A. I. Hanna, 2003, Neural Processing Letters.

Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size

Danilo P. Mandic, Su Lee Goh, 2007, IEEE Transactions on Neural Networks.

A collaborative filtering approach for quasi-brain-death EEG analysis

Ling Li, Danilo P. Mandic, Yili Xia, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Complementary Complex-Valued Spectrum for Real-Valued Data: Real Time Estimation of the Panorama Through Circularity-Preserving Dft

Danilo P. Mandic, Scott C. Douglas, Bruno Scalzo Dees, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Advances in blind signal processing

Toshihisa Tanaka, Deniz Erdogmus, Danilo P. Mandic, 2008, Neurocomputing.

Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection

Mo Chen, Danilo P. Mandic, Udo Trutschel, 2005, ICANN.

Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering pdf

Ljubisa Stankovic, Danilo P. Mandic, Milos Brajovic, 2019, ArXiv.

Network Architectures for Prediction

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

A Complex-Valued RTRL Algorithm for Recurrent Neural Networks

Danilo P. Mandic, S. L. Goh, Su Lee Goh, 2004, Neural Computation.

A non-parametric test for detecting the complex-valued nature of time series

Danilo P. Mandic, Marc M. Van Hulle, Temujin Gautama, 2003, Int. J. Knowl. Based Intell. Eng. Syst..

Complexity science for sleep stage classification from EEG

Danilo P. Mandic, David Looney, Takashi Nakamura, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Cost-effective diffusion Kalman filtering with implicit measurement exchanges

Danilo P. Mandic, Yili Xia, Sayed Pouria Talebi, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bringing Wearable Sensors into the Classroom: A Participatory Approach [SP Education]

Anthony G. Constantinides, Danilo P. Mandic, Valentin Goverdovsky, 2018, IEEE Signal Process. Mag..

Analysis and Online Realization of the CCA Approach for Blind Source Separation

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2007, IEEE Transactions on Neural Networks.

Cooperative adaptive estimation of distributed noncircular complex signals

Danilo P. Mandic, Dahir H. Dini, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Blind extraction of noncircular complex signals using a widely linear predictor

Danilo P. Mandic, Beth Jelfs, Soroush Javidi, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

A Nonlinear Adaptive Predictor Realised Via Recurrent Neural Networks With Annealing

Danilo P. Mandic, J. A. Charnbersi, 1999 .

Widely Linear Estimation and Augmented CLMS (ACLMS)

Vanessa Su Lee Goh, Danilo P. Mandic, 2009 .

Adaptive IIR Filtering of Noncircular Complex Signals

Danilo P. Mandic, Clive Cheong Took, D. Mandic, 2009, IEEE Transactions on Signal Processing.

Quaternion-Valued Adaptive Filtering via Nesterov’s Extrapolation

Danilo P. Mandic, Scott C. Douglas, Thiernithi Variddhisaï, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mean square analysis of the CLMS and ACLMS for non-circular signals: The approximate uncorrelating transform approach

Danilo P. Mandic, Scott C. Douglas, Sithan Kanna, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Study of the quaternion LMS and four-channel LMS algorithms

Jacob Benesty, Danilo P. Mandic, Clive Cheong Took, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A perspective on CLMS as a deficient length augmented CLMS: Dealing with second order noncircularity

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2018, Signal Process..

Quaternion-Valued Stochastic Gradient-Based Adaptive IIR Filtering

Danilo P. Mandic, Clive Cheong Took, D. Mandic, 2010, IEEE Transactions on Signal Processing.

A least squares enhanced smart DFT technique for frequency estimation of unbalanced three-phase power systems

Kai Wang, Danilo P. Mandic, Yili Xia, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation

Danilo P. Mandic, Zehua Chen, Bruno Scalzo Dees, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Power independent EMG based gesture recognition for robotics

Ling Li, Danilo P. Mandic, David Looney, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Analysis of the Unconstrained Frequency-Domain Block LMS for Second-Order Noncircular Inputs

Luxi Yang, Danilo P. Mandic, Yili Xia, 2019, IEEE Transactions on Signal Processing.

13 – Empirical mode decomposition for simultaneous image enhancement and fusion

Danilo P. Mandic, David Looney, 2008 .

Appendix D: Learning Algorithms for RNNs

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

Complex Properness Inspired Blind Adaptive Frequency-Dependent I/Q Imbalance Compensation for Wideband Direct-Conversion Receivers

Danilo P. Mandic, Yili Xia, Luxi Yang, 2020, IEEE Transactions on Wireless Communications.

Signal Processing Techniques for Knowledge Extraction and Information Fusion

Toshihisa Tanaka, Danilo P. Mandic, Anthony Kuh, 2008 .

Oversampled Perfect Reconstruction Filter Banks

Danilo P. Mandic, Toshihisa Tanaka, 2004 .

Introductory Note

Allan Kardec Barros, Jan Larsen, Danilo P. Mandic, 1996, Science in Context.

Some Practical Considerations of Predictability and Learning Algorithms for Various Signals

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

Adaptive Convex Combination Approach for the Identification of Improper Quaternion Processes

Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Online tracking of the degree of nonlinearity within complex signals

Kazuyuki Aihara, Danilo P. Mandic, Beth Jelfs, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading

Ali N. Akansu, Daniel Pérez Palomar, Danilo P. Mandic, 2016, IEEE J. Sel. Top. Signal Process..

Co-Located Multimodal Sensing: A Next Generation Solution for Wearable Health

Christos Papavassiliou, Preben Kidmose, Danilo P. Mandic, 2015, IEEE Sensors Journal.

Dynamically-Sampled Bivariate Empirical Mode Decomposition

Danilo P. Mandic, Naveed ur Rehman, Muhammad Waqas Safdar, 2014, IEEE Signal Processing Letters.

A machine learning enhanced empirical mode decomposition

Danilo P. Mandic, David Looney, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Introduction to the Issue on Signal Processing in Smart Electric Power Grid

Lang Tong, Danilo P. Mandic, Yih-Fang Huang, 2014, IEEE Journal on Selected Topics in Signal Processing.

Appendix F: On the A Posteriori Approach in Science and Engineering

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

A real time tracker of complex circularity

Danilo P. Mandic, Scott C. Douglas, Sithan Kanna, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

On the Decomposition of Multivariate Nonstationary Multicomponent Signals pdf

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, 2019, ArXiv.

Visualising error surfaces for adaptive filters and other purposes

Danilo P. Mandic, Mark Fisher, J. Andrew Bangham, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Analysis of Least Stochastic Entropy Adaptive Filters for Noncircular Gaussian Signals

Luxi Yang, Xing Zhang, Danilo P. Mandic, 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

Analysis of the class of complex-valued error adaptive normalised nonlinear gradient descent algorithms

Danilo P. Mandic, Andrew I. Hanna, Ian Yates, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A normalised real time recurrent learning algorithm

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2000, Signal Process..

Performance Analysis of Quaternion-Valued Adaptive Filters in Nonstationary Environments

Danilo P. Mandic, Min Xiang, Sithan Kanna, 2018, IEEE Transactions on Signal Processing.

Neural Networks as Nonlinear Adaptive Filters

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

A generalized normalized gradient descent algorithm

Danilo P. Mandic, D. Mandic, 2004, IEEE Signal Processing Letters.

A Normalized Complex LMS Based Blind I/Q Imbalance Compensator for GFDM Receivers and Its Full Second-Order Performance Analysis

Yongming Huang, Luxi Yang, Danilo P. Mandic, 2018, IEEE Transactions on Signal Processing.

On Nonlinear Processing of Air Pollution Data

Gavin C. Cawley, Danilo P. Mandic, Igor R. Krcmar, 2001 .

Recurrent Neural Networks for Prediction

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2001 .

Auditory evoked responses from Ear-EEG recordings

Preben Kidmose, Danilo P. Mandic, David Looney, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals

Danilo P. Mandic, Marc M. Van Hulle, José Carlos Príncipe, 2011, IEEE Transactions on Neural Networks.

A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis

Danilo P. Mandic, Theerasak Chanwimalueang, Mosabber Uddin Ahmed, 2016, Entropy.

Applications of complex augmented kernels to wind profile prediction

Danilo P. Mandic, Anthony Kuh, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

A normalized gradient algorithm for an adaptive recurrent perceptron

Danilo P. Mandic, Jonathon A. Chambers, Warren Sherliker, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm

Danilo P. Mandic, Marc M. Van Hulle, David Looney, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

A normalised kurtosis-based algorithm for blind source extraction from noisy measurements

Wei Liu, Danilo P. Mandic, W. Liu, 2006, Signal Process..

A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening

Danilo P. Mandic, Muhammad Murtaza Khan, Naveed ur Rehman, 2015, IEEE Transactions on Geoscience and Remote Sensing.

On Approximate Diagonalization of Correlation Matrices in Widely Linear Signal Processing

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2012, IEEE Transactions on Signal Processing.

A Unifying Analysis of Shift Operators on a Graph pdf

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, 2019, ArXiv.

A new proof of the generalized Hamiltonian–Real calculus

Danilo P. Mandic, Dongpo Xu, Hua Gao, 2016, Royal Society Open Science.

Danilo P. Mandic, Theerasak Chanwimalueang, D. Mandic, 2017, Entropy.

Augmented Complex Common Spatial Patterns for Classification of Noncircular EEG From Motor Imagery Tasks

Danilo P. Mandic, Cheolsoo Park, Clive Cheong Took, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Bivariate EMD analysis for aircraft component inspection

Danilo P. Mandic, David Looney, Tiziana D'Orazio, 2010, 2010 IEEE International Symposium on Industrial Electronics.

Support Tensor Machine for Financial Forecasting

Danilo P. Mandic, Giuseppe G. Calvi, Vladimir Lucic, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature Fusion via Tensor Network Summation

Danilo P. Mandic, Ilia Kisil, Giuseppe Giovanni Calvi, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Improperness Based SINR Analysis of GFDM Systems Under Joint Tx and Rx I/Q Imbalance

Zixiang Xiong, Danilo P. Mandic, Yili Xia, 2020, 2020 IEEE Wireless Communications and Networking Conference (WCNC).

Session TP2b: Cooperative adaptation and learning (invited)

Ali H. Sayed, Danilo P. Mandic, 2012, ACSCC.

Quasi-Brain-Death EEG Data Analysis by Empirical Mode Decomposition

Danilo P. Mandic, Jianting Cao, Toshihisa Tanaka, 2008 .

Image fusion based on Fast and Adaptive Bidimensional Empirical Mode Decomposition

Danilo P. Mandic, Mosabber Uddin Ahmed, 2010, 2010 13th International Conference on Information Fusion.

On "an improved approach for nonlinear system identification using neural networks"

Danilo P. Mandic, Andrew I. Hanna, 2003, J. Frankl. Inst..

Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing

Wei Liu, Danilo P. Mandic, Wai Yie Leong, 2008, Neurocomputing.

Widely linear complex partial least squares for latent subspace regression

Danilo P. Mandic, Sithan Kanna, Alexander E. Stott, 2018, Signal Process..

Recurrent Graph Tensor Networks pdf

Danilo P. Mandic, Yao Lei Xu, 2020, ArXiv.

EEG Based Biometric Framework for Automatic Identity Verification

Danilo P. Mandic, Ramaswamy Palaniappan, D. Mandic, 2007, J. VLSI Signal Process..

Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals

Tiziana D'Orazio, Danilo P. Mandic, David Looney, 2010, ANNPR.

Microsleep Detection in Electrophysiological Signals

Danilo P. Mandic, David Sommer, Martin Golz, 2016 .

A novel augmented complex valued kernel LMS

Danilo P. Mandic, Anthony Kuh, Felipe A. Tobar, 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

On quaternion analyticity: Enabling quaternion-valued nonlinear adaptive filtering

Danilo P. Mandic, Clive Cheong Took, Bukhari Che Ujang, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Blind source extraction of instantaneous noisy mixtures using a linear predictor

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2006, 2006 IEEE International Symposium on Circuits and Systems.

A particle filtering based kernel HMM predictor

Danilo P. Mandic, Felipe A. Tobar, D. Mandic, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

TENSOR ENSEMBLE LEARNING FOR MULTIDIMENSIONAL DATA

Danilo P. Mandic, Ilia Kisil, Ahmad Moniri, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

AN ONLINE ALGORITHM FOR BLIND EXTRACTION OF SOURCES WITH DIFFERENT DYNAMICAL STRUCTURES

Danilo P. Mandic, Andrzej Cichocki, A. Cichocki, 2003 .

Nonlinear modelling of air pollution time series

Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Data-Reusing Recurrent Neural Adaptive Filters

Danilo P. Mandic, D. Mandic, 2002, Neural Computation.

Tracking Dynamic Systems in α-Stable Environments

Danilo P. Mandic, Shengxi Li, Stefan Werner, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A universal framework for learning based on the elliptical mixture model (EMM) pdf

Danilo P. Mandic, Zeyang Yu, Shengxi Li, 2018, ArXiv.

Complex Empirical Mode Decomposition for Multichannel Information Fusion

Toshihisa Tanaka, Danilo P. Mandic, Marc M. Van Hulle, 2008 .

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach

Tonio Ball, Liqing Zhang, Andrzej Cichocki, 2011, NIPS.

A DFT enhanced complex LMS for digital adaptive spur cancellation

Kai Wang, Zhe Li, Danilo P. Mandic, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Vertex-Frequency Graph Signal Processing pdf

Ljubisa Stankovic, Danilo P. Mandic, Milos Brajovic, 2019, ArXiv.

A Quaternion Gradient Operator and Its Applications

Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took, 2011, IEEE Signal Processing Letters.

Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions

Danilo P. Mandic, Felipe A. Tobar, D. Mandic, 2014, IEEE Transactions on Information Theory.

EAR-EEG for Detecting Inter-Brain Synchronisation in Continuous Cooperative Multi-Person Scenarios

Danilo P. Mandic, Valentin Goverdovsky, Apit Hemakom, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An online NIPALS algorithm for Partial Least Squares

Danilo P. Mandic, Sithan Kanna, William T. Pike, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing

Danilo P. Mandic, Beth Jelfs, Soroush Javidi, 2010, J. Signal Process. Syst..

Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2015, IEEE Transactions on Neural Networks and Learning Systems.

On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function

Danilo P. Mandic, Igor R. Krcmar, Warren Sherliker, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A Normalised Kurtosis Based Blind Source Extraction Algorithm for Noisy Mixtures

Wei Liu, Danilo P. Mandic, W. Liu, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Data Fusion via Fission for the Analysis of Brain Death

Danilo P. Mandic, David Looney, Jianting Cao, 2010 .

Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?

Andrzej Cichocki, Danilo P. Mandic, Ilia Kisil, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound

Tiziana D'Orazio, Danilo P. Mandic, David Looney, 2012, IEEE Transactions on Instrumentation and Measurement.

Design of oversampled generalised discrete Fourier transform filter banks for application to subband-based blind source separation

Wei Liu, Bo Peng, Danilo P. Mandic, 2013, IET Signal Process..

Tensor Decompositions in Deep Learning

Davide Bacciu, Danilo P. Mandic, D. Mandic, 2020, ESANN.

Joint Channel Estimation and Tx/Rx I/Q Imbalance Compensation for GFDM Systems

Yongming Huang, Luxi Yang, Danilo P. Mandic, 2019, IEEE Transactions on Wireless Communications.

Correntropy-Based Adaptive Filtering of Noncircular Complex Data

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stability of distributed extended Kalman filters

Danilo P. Mandic, Sithan Kanna, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Adaptive nonlinear feedback methods for the solution of image restoration problems

Danilo P. Mandic, Moe Razaz, A. S. Palmer, 2002 .

Bias reduction in acoustic feedback cancellation systems with varying all-pass filters

Danilo P. Mandic, Anthony G. Constantinides, Christos Boukis, 2006 .

A posteriori error learning in nonlinear adaptive filters

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 1999 .

Blind Extraction of Noisy Events using Nonlinear Predictor

Wei Liu, Danilo P. Mandic, Wai Yie Leong, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Diagonalisation of covariance matrices in quaternion widely linear signal processing pdf

Danilo P. Mandic, Yili Xia, Shirin Enshaeifar, 2017, ArXiv.

Performance analysis of the conventional complex LMS and augmented complex LMS algorithms

Danilo P. Mandic, Scott C. Douglas, S. Douglas, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Quaternion Least Mean Phase adaptive estimator

Danilo P. Mandic, Anthony Kuh, Sayed Pouria Talebi, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convergence of Online Learning Algorithms in Neural Networks

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

Time-frequency decomposition of multivariate multicomponent signals

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, 2018, Signal Process..

Diffusion widely linear adaptive estimation of system frequency in distributed power grids

Danilo P. Mandic, Sayed Pouria Talebi, Sithan Kanna, 2014, 2014 IEEE International Energy Conference (ENERGYCON).

Real-time estimation of quaternion impropriety

Danilo P. Mandic, Sayed Pouria Talebi, Sithan Kanna, 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

Nonuniformly sampled trivariate empirical mode decomposition

Danilo P. Mandic, David Looney, Alireza Ahrabian, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis

Danilo P. Mandic, Norden E. Huang, Zhaohua Wu, 2013, IEEE Signal Processing Magazine.

A normalized mixed-norm adaptive filtering algorithm robust under impulsive noise interference

Danilo P. Mandic, Christos Boukis, Eftychios V. Papoulis, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

EarEEG based visual P300 Brain-Computer Interface

Preben Kidmose, Danilo P. Mandic, David Looney, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

Multivariate entropy analysis with data-driven scales

Preben Kidmose, Danilo P. Mandic, David Looney, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Collaborative Adaptive Learning using Hybrid Filters

Danilo P. Mandic, Beth Jelfs, S. L. Goh, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Maximum Likelihood Parameter Estimation of Unbalanced Three-Phase Power Signals

Danilo P. Mandic, Yili Xia, Sithan Kanna, 2018, IEEE Transactions on Instrumentation and Measurement.

Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach

Allan Kardec Barros, Andrzej Cichocki, Danilo P. Mandic, 2006, KES.

Hearables: Multimodal physiological in-ear sensing

Christos Papavassiliou, Danilo P. Mandic, David Looney, 2016, Scientific Reports.

Adaptive and Learning Systems for Signal, Processing, Communications, and Control

Vanessa Su Lee Goh, Danilo P. Mandic, D. Mandic, 2009 .

Appendix F: The O Notation and Standard Vector and Matrix Differentiation

Vanessa Su Lee Goh, Danilo P. Mandic, D. Mandic, 2009 .

A Full Mean Square Analysis of CLMS for Second-Order Noncircular Inputs

Danilo P. Mandic, Yili Xia, D. Mandic, 2017, IEEE Transactions on Signal Processing.

A Universal Framework for Learning the Elliptical Mixture Model

Danilo P. Mandic, Zeyang Yu, Shengxi Li, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2010, J. Circuits Syst. Comput..

Maximum likelihood cost functions for neural network models of air quality data

Gavin C. Cawley, Danilo P. Mandic, Stephen Dorling, 2003 .

A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression

Danilo P. Mandic, Bruno Scalzo Dees, Ilia Kisil, 2019, Signal Process..

Appendix E: Terminology Used in the Field of Neural Networks

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

Ear-EEG: Continuous Brain Monitoring

Preben Kidmose, Danilo P. Mandic, Mary J. Morrell, 2014, Brain-Computer Interface Research.

Distributed Particle Filtering of $\alpha$ -Stable Signals

Danilo P. Mandic, Sayed Pouria Talebi, 2017, IEEE Signal Processing Letters.

Automatic Sleep Monitoring Using Ear-EEG

Danilo P. Mandic, Takashi Nakamura, Valentin Goverdovsky, 2017, IEEE Journal of Translational Engineering in Health and Medicine.

Quaternion-Valued Distributed Filtering and Control

Danilo P. Mandic, Stefan Werner, Sayed Pouria Talebi, 2020, IEEE Transactions on Automatic Control.

Spatial Tactile and Auditory Brain Computer Interface based on Head Position Stimulation

Danilo P. Mandic, Shoji Makino, Zbigniew R. Struzik, 2013 .

A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources

Danilo P. Mandic, Jonathon A. Chambers, Maria G. Jafari, 2003, KES.

Stability Issues in RNN Architectures

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

Unsupervised State-Space Modeling Using Reproducing Kernels

Petar M. Djuric, Danilo P. Mandic, Felipe A. Tobar, 2015, IEEE Transactions on Signal Processing.

The correlation preserving transform resolves phase ambiguity in complex decorrelating transforms

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Fusion of visual and thermal images using complex extension of EMD

Danilo P. Mandic, David Looney, 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

Vertex-Frequency Graph Signal Processing: A review

Ljubisa Stankovic, Danilo P. Mandic, Milos Brajovic, 2019 .

Noise- and Interference-Reduction Methods for Microwave Doppler Radar Vital Signs Monitors

Danilo P. Mandic, Isar Mostafanezhad, Ehsan Yavari, 2017 .

Emotional empathy transition patterns from human brain responses in interactive communication situations

Toyoaki Nishida, Andrzej Cichocki, Danilo P. Mandic, 2011, AI & SOCIETY.

Multichannel EEG separation in HHT domain

Danilo P. Mandic, Tomasz M. Rutkowski, Andrzej W. Przybyszewski, 2011 .

Complex dual channel estimation: Cost effective widely linear adaptive filtering

Danilo P. Mandic, Cyrus Jahanchahi, Sithan Kanna, 2014, Signal Process..

Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition pdf

Andrzej Cichocki, Danilo P. Mandic, André Uschmajew, 2016, ArXiv.

On HR calculus, quaternion valued stochastic gradient, and adaptive three dimensional wind forecasting

Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Spatially adaptive image restoration by neural network filtering

Danilo P. Mandic, Moe Razaz, Alex S. Palmer, 2002, VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings..

A Distributed Quaternion Kalman Filter With Applications to Smart Grid and Target Tracking

Danilo P. Mandic, Sayed Pouria Talebi, Sithan Kanna, 2016, IEEE Transactions on Signal and Information Processing over Networks.

Selective Time-Frequency Reassignment Based on Synchrosqueezing

Danilo P. Mandic, Alireza Ahrabian, D. Mandic, 2015, IEEE Signal Processing Letters.

A normalised backpropagation learning algorithm for multilayer feed-forward neural adaptive filters

Danilo P. Mandic, M. Razaz, A. I. Hanna, 2001, Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584).

A family of least-squares magnitude phase algorithms

Danilo P. Mandic, Scott C. Douglas, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Prediction of wide-sense stationary quaternion random signals

Danilo P. Mandic, Jesús Navarro-Moreno, Rosa M. Fernández-Alcalá, 2013, Signal Process..

A Study of Evoked Potentials From Ear-EEG

Preben Kidmose, Danilo P. Mandic, David Looney, 2013, IEEE Transactions on Biomedical Engineering.

Lower Bound on Tensor Rank

Danilo P. Mandic, Bruno Scalzo Dees, Giuseppe G. Calvi, 2019 .

Quality assessment of hybrid nonlinear filters

Mo Chen, Danilo P. Mandic, D. Mandic, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing pdf

Ljubisa Stankovic, Danilo P. Mandic, Ilya Kisil, 2019, ArXiv.

Global asymptotic convergence of nonlinear relaxation equations realised through a recurrent perceptron

Danilo P. Mandic, Jonathon A. Chambers, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks

Danilo P. Mandic, Su Lee Goh, 2003, KES.

A Homomorphic Neural Network for Modeling and Prediction

Danilo P. Mandic, Maciej Pedzisz, D. Mandic, 2008, Neural Computation.

An Auditory Oddball Based Brain-Computer Interface System Using Multivariate EMD

Toshihisa Tanaka, Wei Zhou, Danilo P. Mandic, 2010, ICIC.

Text Mining - A Key Lynchpin in the Investment Process: A Survey

Danilo P. Mandic, Bruno Scalzo Dees, Giuseppe Giovanni Calvi, 2018, APPIS.

A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application

Mo Chen, Hui Wang, Danilo P. Mandic, 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method

Naotaka Fujii, Liqing Zhang, Andrzej Cichocki, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On an RLS-like LMS adaptive filter

Danilo P. Mandic, Thiernithi Variddhisaï, D. Mandic, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Multi-command Tactile and Auditory Brain Computer Interface based on Head Position Stimulation pdf

Danilo P. Mandic, Shoji Makino, Zbigniew R. Struzik, 2013, ArXiv.

Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals

Danilo P. Mandic, Alireza Ahrabian, Naveed ur Rehman, 2013, IEEE Signal Processing Letters.

The least-mean-magnitude-phase algorithm with applications to communications systems

Danilo P. Mandic, Scott C. Douglas, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Qualitative analysis of rotational modes within three dimensional empirical mode decomposition

Danilo P. Mandic, Naveed ur Rehman, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2014, IEEE Signal Processing Magazine.

Blind Sequential Extraction of Post-Nonlinearly Mixed Sources using Kalman Filtering

Danilo P. Mandic, Wai Yie Leong, W. Y. Leong, 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.

Augmented MVDR Spectrum-Based Frequency Estimation for Unbalanced Power Systems

Danilo P. Mandic, Yili Xia, D. Mandic, 2013, IEEE Transactions on Instrumentation and Measurement.

Analysis of the widely linear complex Kalman filter

Danilo P. Mandic, Dahir H. Dini, 2010 .

Noise assisted multivariate empirical mode decomposition applied to Doppler radar data

Danilo P. Mandic, David Looney, Felipe Tobar, 2012 .

Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations

Danilo P. Mandic, Tomasz M. Rutkowski, 2007, Artifical Intelligence for Human Computing.

Blind source separation and artefact cancellation for single channel bioelectrical signal

Danilo P. Mandic, Huihui Li, Zhiqiang Zhang, 2016, 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Online Multilinear Dictionary Learning for Sequential Compressive Sensing pdf

Danilo P. Mandic, Thiernithi Variddhisaï, D. Mandic, 2017, ArXiv.

Novel quaternion matrix factorisations

Danilo P. Mandic, Saeid Sanei, Shirin Enshaeifar, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On intraference and its implications in complex-valued signal processing

Danilo P. Mandic, Scott C. Douglas, Clive Cheong Took, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A normalised complex backpropagation algorithm

Danilo P. Mandic, Andrew I. Hanna, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Toward an optimal PRNN-based nonlinear predictor

Danilo P. Mandic, Jonathon A. Chambers, 1999, IEEE Trans. Neural Networks.

Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms

Toshihisa Tanaka, Andrzej Cichocki, Donna Erickson, 2011, Comput. Hum. Behav..

Sensor Network Localization Using Least Squares Kernel Regression

Danilo P. Mandic, Anthony Kuh, Chaopin Zhu, 2006, KES.

Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN

Danilo P. Mandic, Su Lee Goh, 2005, IEEE Transactions on Signal Processing.

Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach

Danilo P. Mandic, Marc M. Van Hulle, David Looney, 2016, Int. J. Neural Syst..

Single-channel Wiener filtering of deterministic signals in stochastic noise using the panorama

Danilo P. Mandic, Scott C. Douglas, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2000, Neural Computation.

On the unitary diagonalisation of a special class of quaternion matrices

Danilo P. Mandic, Clive Cheong Took, Fuzhen Zhang, 2011, Appl. Math. Lett..

Augmented Performance Bounds on Strictly Linear and Widely Linear Estimators With Complex Data

Danilo P. Mandic, Yili Xia, D. Mandic, 2018, IEEE Transactions on Signal Processing.

Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition

Hartwig R. Siebner, Lars Kai Hansen, Danilo P. Mandic, 2019, Comput. Intell. Neurosci..

Assessment of Nonlinearity in Brain Electrical Activity: A DVV Approach

Mo Chen, Danilo P. Mandic, Tomasz M. Rutkowski, 2007 .

Semi-blind source separation for convolutive mixtures based on frequency invariant transformation

Wei Liu, Danilo P. Mandic, W. Liu, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

Andrzej Cichocki, Danilo P. Mandic, Yu Zhang, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Scalable automatic sleep staging in the era of Big Data

Danilo P. Mandic, Takashi Nakamura, Harry J. Davies, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Autoconvolution and panorama: Augmenting second-order signal analysis

Danilo P. Mandic, Scott C. Douglas, S. Douglas, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Synchrosqueezing an effective method for analyzing Doppler radar physiological signals

Jia Xu, Danilo P. Mandic, Olga Boric-Lubecke, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Sequential Detection Using Least Squares Temporal Difference Methods

Danilo P. Mandic, Anthony Kuh, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

A fast algorithm for linear convolution of discrete time signals

Danilo P. Mandic, Zdenka Babic, 2001, 5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517).

Modelling economic stress through financial systemic balance index

Danilo P. Mandic, Theerasak Chanwimalueang, Giuseppe Giovanni Calvi, 2016, 2016 IEEE International Conference on Digital Signal Processing (DSP).

Online Multilinear Dictionary Learning

Danilo P. Mandic, Thiernithi Variddhisai, 2017 .

Blind Separation of Dependent Sources With a Bounded Component Analysis Deflationary Algorithm

Iván Durán-Díaz, Sergio Cruces, Danilo P. Mandic, 2013, IEEE Signal Processing Letters.

Unitary Shift Operators on a Graph pdf

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, 2019, ArXiv.

Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing

Danilo P. Mandic, Yili Xia, Shirin Enshaeifar, 2017, Signal Process..

A posteriori real-time recurrent learning schemes for a recurrent neural network based nonlinear predictor

Danilo P. Mandic, Jonathon A. Chambers, 1998 .

Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold

Danilo P. Mandic, Zeyang Yu, Shengxi Li, 2020, AAAI.

Distributed Widely Linear Kalman Filtering for Frequency Estimation in Power Networks

Danilo P. Mandic, Yili Xia, Ron Shu-Yuen Hui, 2015, IEEE Transactions on Signal and Information Processing over Networks.

Noisy Component Extraction (NoiCE)

Danilo P. Mandic, Wai Yie Leong, W. Y. Leong, 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

EEG Signal Quality of a Subcutaneous Recording System Compared to Standard Surface Electrodes

R. E. Madsen, Danilo P. Mandic, Jonas Duun-Henriksen, 2015, J. Sensors.

An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks

Mo Chen, Danilo P. Mandic, Temujin Gautama, 2008, IEEE Transactions on Neural Networks.

Adaptive Filters with Feedback

Vanessa Su Lee Goh, Danilo P. Mandic, 2009 .

A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing

Danilo P. Mandic, Alireza Ahrabian, D. Mandic, 2015, IEEE Transactions on Signal Processing.

Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation

Toshihisa Tanaka, Andrzej Cichocki, Danilo P. Mandic, 2008, ICONIP.

Portfolio Cuts: A Graph-Theoretic Framework to Diversification

Ljubisa Stankovic, Danilo P. Mandic, Anthony G. Constantinides, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Ear-EEG: User-Centered and Wearable BCI

Preben Kidmose, Danilo P. Mandic, David Looney, 2014 .

Nonlinear adaptive prediction using a complex-valued PRNN

Danilo P. Mandic, Su Lee Goh, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Performance Analysis of Deficient Length Quaternion Least Mean Square Adaptive Filters

Danilo P. Mandic, Yili Xia, Min Xiang, 2020, IEEE Transactions on Signal Processing.

A gradient adaptive step size algorithm for IIR filters

Anthony G. Constantinides, Danilo P. Mandic, Christos Boukis, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms

Danilo P. Mandic, Yili Xia, Dongpo Xu, 2016, IEEE Transactions on Neural Networks and Learning Systems.

A Flexible Method for Envelope Estimation in Empirical Mode Decomposition

Toshihisa Tanaka, Andrzej Cichocki, Danilo P. Mandic, 2006, KES.

A non-parametric test for detecting the complex-valued nature of time series

Danilo P. Mandic, Marc M. Van Hulle, Temujin Gautama, 2004 .

A Quaternion Frequency and Phasor Estimator for Three-Phase Power Distribution Networks pdf

Danilo P. Mandic, Sayed Pouria Talebi, D. Mandic, 2016, ArXiv.

On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2012, LVA/ICA.

EEG-based brain connectivity analysis of states of unawareness

Ling Li, Howard Bowman, Danilo P. Mandic, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A fast algorithm for blind extraction of smooth complex sources with application in EEG conditioning

Danilo P. Mandic, Soroush Javidi, D. Mandic, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Noncircular Measurement and Mitigation of $I/Q$ Imbalance for OFDM-Based WLAN Transmitters

Danilo P. Mandic, Yili Xia, Yongming Huang, 2017, IEEE Transactions on Instrumentation and Measurement.

Multivariate multiscale entropy for brain consciousness analysis

Ling Li, Danilo P. Mandic, Jianting Cao, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A quaternion frequency estimator for three-phase power systems

Danilo P. Mandic, Sayed Pouria Talebi, D. Mandic, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploiting Inherent Relationships Between Parameters in Recurrent Neural Networks

Danilo P. Mandic, Jonathon A. Chambers, 2002 .

Probabilistic guidance for catheter tip motion in cardiac ablation procedures

Su-Lin Lee, Guang-Zhong Yang, Danilo P. Mandic, 2018, Medical Image Anal..

On the choice of tactile code

Danilo P. Mandic, Richard Harvey, Djemal H. Kolonic, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Modelling of brain consciousness based on collaborative adaptive filters

Ling Li, Danilo P. Mandic, Yili Xia, 2012, Neurocomputing.

A Low-Dimensionality Method for Data-Driven Graph Learning

Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Augmented Complex Particle Filter

Petar M. Djuric, Danilo P. Mandic, Dahir H. Dini, 2013, IEEE Transactions on Signal Processing.

Full Mean Square Performance Bounds on Quaternion Estimators for Improper Data

Danilo P. Mandic, Yili Xia, Wenjiang Pei, 2019, IEEE Transactions on Signal Processing.

Multivariate Multiscale Entropy Analysis

Danilo P. Mandic, Mosabber Uddin Ahmed, D. Mandic, 2012, IEEE Signal Processing Letters.

An Implementation of Nonlinear Multiuser Detection in Rayleigh Fading Channel

Danilo P. Mandic, Wai Yie Leong, John Homer, 2006, EURASIP J. Wirel. Commun. Netw..

Modelling stress in public speaking: Evolution of stress levels during conference presentations

Danilo P. Mandic, Theerasak Chanwimalueang, Wilhelm von Rosenberg, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On global asymptotic stability of fully connected recurrent neural networks

Danilo P. Mandic, Jonathon A. Chambers, Milorad M. Bozic, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes

Danilo P. Mandic, Clive Cheong Took, Mingxuan Wang, 2011, The 2011 International Joint Conference on Neural Networks.

An Adaptively Regularised Method for Denoising of Real World Images

Danilo P. Mandic, David Looney, Tomasz M. Rutkowski, 2007 .

Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition pdf

Danilo P. Mandic, Kriton Konstantinidis, Alexandros Haliassos, 2020, ArXiv.

Refreshing Digital Communications Curriculum with RFID Technology: A Participatory Approach

Danilo P. Mandic, Yili Xia, Wei Deng, 2018, 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP).

Advanced RNN Based NARMA Predictors

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2000, J. VLSI Signal Process..

A class of Modular Recurrent Neural Networks: Preservation of Signal Modality

Mo Chen, Danilo P. Mandic, Marc M. Van Hulle, 2004 .

Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2012, IEEE Signal Processing Magazine.

Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality

Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic, 2002, The European Symposium on Artificial Neural Networks.

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives

Masashi Sugiyama, Andrzej Cichocki, Danilo P. Mandic, 2017, Found. Trends Mach. Learn..

SINR Analysis Of Mimo Systems With Widely Linear MMSE Receivers For The Reception Of Real-Valued Constellations

Danilo P. Mandic, Yili Xia, Wei Deng, 2020, 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications.

A class of quaternion valued affine projection algorithms

Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took, 2013, Signal Process..

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2016, Found. Trends Mach. Learn..

Simultaneous DFT and IDFT through Widely Linear CLMS

Luxi Yang, Xing Zhang, Danilo P. Mandic, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks

Danilo P. Mandic, S. L. Goh, Su Lee Goh, 2006, Neural Computation.

In-Ear SpO2 for Classification of Cognitive Workload

Danilo P. Mandic, Ian Williams, Harry J. Davies, 2021 .

Data Fusion for Modern Engineering Applications: An Overview

Anthony G. Constantinides, Danilo P. Mandic, Tülay Adali, 2005, ICANN.

Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I

Luís A. Alexandre, Joaquim Marques de Sá, Danilo P. Mandic, 2007, International Conference on Artificial Neural Networks.

Deriving the Optimal Payload Size for Packet-Based Communication Over a Binary Symmetrical Channel

Danilo P. Mandic, Ben Milner, D. Kolonic, 2002 .

The Thirteenth Joint MMM/Intermag Conference 2016

Danilo P. Mandic, Theerasak Chanwimalueang, David J. Sharp, 2016 .

A cost-effective nonlinear self-interference canceller in full-duplex direct-conversion transceivers

Danilo P. Mandic, Yili Xia, Zhe Li, 2019, Signal Process..

EEG epileptic seizures separation with multivariate empirical mode decomposition for diagnostic purposes

Danilo P. Mandic, Zbigniew R. Struzik, Tomasz M. Rutkowski, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Error Functions for Prediction of Episodes of Poor Air Quality

Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic, 2002, ICANN.

Complex-Valued Nonlinear Adaptive Filters With Applications in $\alpha$-Stable Environments

Danilo P. Mandic, Stefan Werner, Sayed Pouria Talebi, 2019, IEEE Signal Processing Letters.

In-Ear EEG Biometrics for Feasible and Readily Collectable Real-World Person Authentication

Danilo P. Mandic, Takashi Nakamura, Valentin Goverdovsky, 2017, IEEE Transactions on Information Forensics and Security.

Real-time detection of rectilinear sources for wireless communication signals

Danilo P. Mandic, Min Xiang, Sithan Kanna, 2015, 2015 International Symposium on Wireless Communication Systems (ISWCS).

Towards the Optimal Learning Rate for Backpropagation

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2000, Neural Processing Letters.

Non-Linear Adaptive Prediction of Speech with a Pipelined Recurrent Neural Network and Advanced Learning Algorithms

Danilo P. Mandic, Jonathon A. Chambers, Jens Baltersee, 1998 .

A general adaptive normalised nonlinear-gradient descent algorithm for nonlinear adaptive filters

Danilo P. Mandic, Andrew I. Hanna, Dai I. Kim, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A Widely Linear Complex Unscented Kalman Filter

Danilo P. Mandic, Simon J. Julier, Dahir H. Dini, 2011, IEEE Signal Processing Letters.

Split quaternion nonlinear adaptive filtering

Danilo P. Mandic, Clive Cheong Took, Bukhari Che Ujang, 2010, Neural Networks.

Qualitative assessment of intrinsic mode functions of empirical mode decomposition

Mo Chen, Preben Kidmose, Danilo P. Mandic, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2011, The 2011 International Joint Conference on Neural Networks.

An augmented CRTRL for complex-valued recurrent neural networks

Danilo P. Mandic, S. L. Goh, Su Lee Goh, 2007, Neural Networks.

A novel algorithm for the adaptation of the pole of Laguerre filters

Anthony G. Constantinides, Danilo P. Mandic, Lazaros Polymenakos, 2006, IEEE Signal Processing Letters.

Widely Linear CLMS Based Cancelation of Nonlinear Self -Interference in Full-Duplex Direct-Conversion Transceivers

Kai Wang, Zhe Li, Danilo P. Mandic, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Network Based Complexity Analysis in Tactile Brain Computer Interface Task

Danilo P. Mandic, Shoji Makino, Zbigniew R. Struzik, 2013 .

Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion pdf

Chao Li, Danilo P. Mandic, Jianting Cao, 2018, AAAI.

A balancing voltage transformation for robust frequency estimation in unbalanced power systems

Kai Wang, Danilo P. Mandic, Yili Xia, 2014, Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific.

Echo State Networks for Multidimensional Data: Exploiting Noncircularity and Widely Linear Models

Danilo P. Mandic, Yili Xia, Zhe Li, 2018 .

The In-the-Ear Recording Concept

Danilo P. Mandic, David Looney, Cheolsoo Park, 2012 .

Stability analysis of the least-mean-magnitude-phase algorithm

Danilo P. Mandic, Scott C. Douglas, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multiscale Image Fusion Using Complex Extensions of EMD

Danilo P. Mandic, David Looney, D. Mandic, 2009, IEEE Transactions on Signal Processing.

Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

Danilo P. Mandic, Klaus D. McDonald-Maier, Shoaib Ehsan, 2015, Sensors.

Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments

Danilo P. Mandic, Stefan Werner, Vinay Chakravarthi Gogineni, 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

IDENTIFICATION AND TRACKING OF ACTIVE SPEAKER'S POSITION IN NOISY ENVIRONMENTS

Yoshinari Kameda, Danilo P. Mandic, Keisuke Yagi, 2003 .

Artificial Intelligence for Human Computing

Danilo P. Mandic, Tomasz M. Rutkowski, 2007 .

Complementary Mean Square Analysis of Augmented CLMS for Second-Order Noncircular Gaussian Signals

Danilo P. Mandic, Yili Xia, D. Mandic, 2017, IEEE Signal Processing Letters.

A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts

Preben Kidmose, Danilo P. Mandic, David Looney, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Augmented complex matrix factorisation

Danilo P. Mandic, David Looney, D. Mandic, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Common components analysis via linked blind source separation

Andrzej Cichocki, Danilo P. Mandic, Guoxu Zhou, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On gradient calculation in quaternion adaptive filtering

Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A spatially-adaptive neural network approach to regularized image restoration

Danilo P. Mandic, Moe Razaz, Alex S. Palmer, 2002, J. Intell. Fuzzy Syst..

Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry

Danilo P. Mandic, Masaki Kobayashi, Tohru Nitta, 2019, IEEE Transactions on Signal Processing.

Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 1999, Neural Computation.

A Quaternion Widely Linear Adaptive Filter

Danilo P. Mandic, Clive Cheong Took, D. Mandic, 2010, IEEE Transactions on Signal Processing.

On fixed points of a general neural network via Mobius transformations

Danilo P. Mandic, Moe Razaz, 2000 .

Duality between widely linear and dual channel adaptive filtering

Danilo P. Mandic, Scott C. Douglas, Susanne Still, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Distributed Adaptive Filtering of $\alpha$ -Stable Signals

Danilo P. Mandic, Stefan Werner, Sayed Pouria Talebi, 2018, IEEE Signal Processing Letters.

Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

Danilo P. Mandic, Youngjoo Kim, Ko Keun Kim, 2016, Comput. Intell. Neurosci..

On the Linearity/Non-linearity of Mental Activity EEG for Brain-Computer Interface Design

Danilo P. Mandic, Ramaswamy Palaniappan, Tugce Balli, 2007 .

A class of novel blind source extraction algorithms based on a linear predictor

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2005, 2005 IEEE International Symposium on Circuits and Systems.

The quaternion kernel least squares

Danilo P. Mandic, Felipe A. Tobar, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Convergence analysis of an augmented algorithm for fully complex-valued neural networks

Danilo P. Mandic, Huisheng Zhang, Dongpo Xu, 2015, Neural Networks.

An efficient noise removal and edge preserving convolution filter

Danilo P. Mandic, Zdenka Babic, 2003, 6th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. TELSIKS 2003..

Proceedings of the 17th international conference on Artificial neural networks

Luís A. Alexandre, Joaquim Marques de Sá, Danilo P. Mandic, 2007 .

Synchrosqueezing-based time-frequency analysis of multivariate data

Ljubisa Stankovic, Danilo P. Mandic, David Looney, 2015, Signal Process..

Complex Empirical Mode Decomposition

Toshihisa Tanaka, Danilo P. Mandic, Toshihisa Tanaka, 2007, IEEE Signal Processing Letters.

The sum of tensor networks

Danilo P. Mandic, Ilia Kisil, Giuseppe G. Calvi, 2017, 1711.00701.

The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems

Danilo P. Mandic, Yili Xia, Cyrus Jahanchahi, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Quadrivariate Empirical Mode Decomposition

Danilo P. Mandic, Naveed ur Rehman, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Adaptive Multiscale Time-Frequency Analysis

Danilo P. Mandic, David Looney, Cheolsoo Park, 2014 .

Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression

Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic, 2003, ESANN.

Algorithmic Trading Using Phase Synchronization

Danilo P. Mandic, Alireza Ahrabian, Clive Cheong Took, 2012, IEEE Journal of Selected Topics in Signal Processing.

The widely linear quaternion recursive total least squares

Anthony G. Constantinides, Danilo P. Mandic, Felipe A. Tobar, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploiting Nonlinearity in Adaptive Signal Processing

Mo Chen, Danilo P. Mandic, Beth Jelfs, 2007, NOLISP.

Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion pdf

Chao Li, Danilo P. Mandic, Jianting Cao, 2018, ArXiv.

Estimation of financial indices volatility using a model with time-varying parameters

Anthony G. Constantinides, Danilo P. Mandic, Marcos E. Orchard, 2014, 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr).

Dynamical complexity analysis of multivariate financial data

Danilo P. Mandic, Wenjun Er, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation

Danilo P. Mandic, Giuseppe G. Calvi, Qibin Zhao, 2019 .

Filter Bank Property of Multivariate Empirical Mode Decomposition

Danilo P. Mandic, Naveed ur Rehman, D. Mandic, 2011, IEEE Transactions on Signal Processing.

Quantifying cooperation in choir singing: Respiratory and cardiac synchronisation

Danilo P. Mandic, Valentin Goverdovsky, Lisa Aufegger, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Data Analytics Perspective of Power Grid Analysis-Part 1: The Clarke and Related Transforms [Lecture Notes]

Adria Junyent-Ferre, Anthony G. Constantinides, Danilo P. Mandic, 2019, IEEE Signal Processing Magazine.

A differential entropy based method for determining the optimal embedding parameters of a signal

Danilo P. Mandic, Marc M. Van Hulle, Temujin Gautama, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Collaborative Adaptive Filters for Online Knowledge Extraction and Information Fusion

Vanessa Su Lee Goh, Danilo P. Mandic, Beth Jelfs, 2008 .

Feature Fusion for the Detection of Microsleep Events

Mo Chen, Danilo P. Mandic, Udo Trutschel, 2007, J. VLSI Signal Process..

Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies

Danilo P. Mandic, Sithan Kanna, D. Mandic, 2016, IEEE Signal Processing Letters.

A Data-Reusing Stochastic Approximation Algorithm for Neural Adaptive Filters

Danilo P. Mandic, Igor R. Krcmar, George Davey Smith, 2001 .

Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics

Andrzej Cichocki, Danilo P. Mandic, Soroush Javidi, 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

Translation invariant multi-scale signal denoising based on goodness-of-fit tests

Danilo P. Mandic, Khuram Naveed, Naveed ur Rehman, 2017, Signal Process..

A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters

Danilo P. Mandic, Su Lee Goh, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals

Ali H. Sayed, Danilo P. Mandic, Yili Xia, 2011, IEEE Signal Processing Letters.

Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures

Wei Liu, Andrzej Cichocki, Danilo P. Mandic, 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

Information Fusion for Perceptual Feedback: A Brain Activity Sonification Approach

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2008 .

Complex valued recurrent neural networks for noncircular complex signals

Danilo P. Mandic, 2009, 2009 International Joint Conference on Neural Networks.

Noisy Component Extraction (Noice)

Danilo P. Mandic, Wai Yie Leong, W. Y. Leong, 2007, 2007 IEEE International Symposium on Circuits and Systems.

A Delay Vector Variance based Marker for an Output-Only Assessment of Structural Changes in Tension Leg Platforms

Vikram Pakrashi, Danilo P. Mandic, D. P. Mandic, 2015 .

Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework

Preben Kidmose, Danilo P. Mandic, Yili Xia, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Diffusion Augmented Complex Extended Kalman Filtering for Adaptive Frequency Estimation in Distributed Power Networks

Danilo P. Mandic, Yili Xia, Sithan Kanna, 2018 .

A fully adaptive normalized nonlinear gradient descent algorithm for complex-valued nonlinear adaptive filters

Danilo P. Mandic, Andrew I. Hanna, 2003, IEEE Trans. Signal Process..

On training with slope adaptation for feedforward NNs

Danilo P. Mandic, Igor R. Krcmar, 2000, Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering. NEUREL 2000 (IEEE Cat. No.00EX287).

Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition

Andrzej Cichocki, Danilo P. Mandic, Ivan Oseledets, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Design of Positive-Definite Quaternion Kernels

Danilo P. Mandic, Felipe A. Tobar, D. Mandic, 2015, IEEE Signal Processing Letters.

Kurtosis-Based Blind Source Extraction of Complex Non-Circular Signals with Application in EEG Artifact Removal in Real-Time

Danilo P. Mandic, Soroush Javidi, Andrzej Cichocki, 2011, Front. Neurosci..

Distributed Widely Linear Complex Kalman Filtering pdf

Danilo P. Mandic, Dahir H. Dini, Sithan Kanna, 2013, ArXiv.

Rotation Invariant Complex Empirical Mode Decomposition

Muhammad Altaf, Toshihisa Tanaka, Danilo P. Mandic, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Estimation of phase synchrony using the synchrosqueezing transform

Danilo P. Mandic, Alireza Ahrabian, D. Mandic, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Widely linear adaptive frequency estimation for unbalanced three-phase power systems with multiple noisy measurements

Danilo P. Mandic, Yili Xia, Qi Yang, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Perlustration of error surfaces for nonlinear stochastic gradient descent algorithms

Danilo P. Mandic, Igor R. Krcmar, A. I. Hanna, 2002, 6th Seminar on Neural Network Applications in Electrical Engineering.

In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation

Danilo P. Mandic, Nicholas S. Peters, Ian Williams, 2020, Sensors.

Biometrics from Brain Electrical Activity: A Machine Learning Approach

Danilo P. Mandic, Ramaswamy Palaniappan, D. Mandic, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm

Anthony G. Constantinides, Danilo P. Mandic, Ilia Kisil, 2018, 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP).

Tucker Tensor Layer in Fully Connected Neural Networks pdf

Danilo P. Mandic, Zeyang Yu, Qibin Zhao, 2019, ArXiv.

Dynamical complexity of human responses: a multivariate data-adaptive framework

Danilo P. Mandic, David Looney, Tomasz M. Rutkowski, 2012 .

Fast Independent Component Analysis Algorithm for Quaternion Valued Signals

Danilo P. Mandic, Soroush Javidi, Clive Cheong Took, 2011, IEEE Transactions on Neural Networks.

Class of Widely Linear Complex Kalman Filters

Danilo P. Mandic, Dahir H. Dini, D. Mandic, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Quaternion-Valued Nonlinear Adaptive Filtering

Danilo P. Mandic, Clive Cheong Took, Bukhari Che Ujang, 2011, IEEE Transactions on Neural Networks.

Automatic detection of drowsiness using in-ear EEG

Danilo P. Mandic, Takashi Nakamura, Mary J. Morrell, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Conditioning multimodal information for smart environments

Danilo P. Mandic, David Looney, Alla Heidenreich, 2009, 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC).

A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring

Danilo P. Mandic, Takashi Nakamura, Harry J. Davies, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A distributed quaternion Kalman filter with applications to fly-by-wire systems

Danilo P. Mandic, Yili Xia, Sayed Pouria Talebi, 2016, 2016 IEEE International Conference on Digital Signal Processing (DSP).

Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005

Danilo P. Mandic, Tomasz M. Rutkowski, D. Mandic, 2005 .

An Augmented Nonlinear LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers

Kai Wang, Zhe Li, Danilo P. Mandic, 2017, IEEE Transactions on Signal Processing.

Advanced PRNN based nonlinear prediction/system identification

Danilo P. Mandic, Jonathon A. Chambers, 1998 .

Subspace denoising of EEG artefacts via multivariate EMD

Preben Kidmose, Danilo P. Mandic, David Looney, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals.

Danilo P. Mandic, Yili Xia, Wenjiang Pei, 2020 .

An on-line algorithm for blind source extraction based on nonlinear prediction approach

Andrzej Cichocki, Danilo P. Mandic, Uttachai Manmontri, 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

Graph Theory and Metro Traffic Modelling pdf

Anthony G. Constantinides, Danilo P. Mandic, Bruno Scalzo Dees, 2019, ArXiv.

A Class of Quaternion Kalman Filters

Danilo P. Mandic, Cyrus Jahanchahi, D. Mandic, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Reducing permutation error in subband-based convolutive blind separation

Wei Liu, Bo Peng, Danilo P. Mandic, 2012, IET Signal Process..

Widely linear state space models for frequency estimation in unbalanced three-phase systems

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).

The quaternion least mean magnitude phase adaptive filtering algorithm

Danilo P. Mandic, Scott C. Douglas, Min Xiang, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

On nonlinear modular neural filters

Mo Chen, Danilo P. Mandic, Marc M. Van Hulle, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Signal nonlinearity in fMRI: a comparison between BOLD and MION

Danilo P. Mandic, Marc M. Van Hulle, Temujin Gautama, 2003, IEEE Transactions on Medical Imaging.

A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function

Danilo P. Mandic, Andrew I. Hanna, 2003, Neural Networks.

Blind extraction of improper quaternion sources

Danilo P. Mandic, Nicolas Le Bihan, Soroush Javidi, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An augmented affine projection algorithm for the filtering of noncircular complex signals

Danilo P. Mandic, Yili Xia, Clive Cheong Took, 2010, Signal Process..

Adaptive Filtering Architectures

Vanessa Su Lee Goh, Danilo P. Mandic, 2009 .

Fully adaptive neural nonlinear FIR filters

Danilo P. Mandic, Christos Boukis, Su Lee Goh, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Multiple-Model Adaptive Estimation for 3-D and 4-D Signals: A Widely Linear Quaternion Approach

Danilo P. Mandic, Min Xiang, Bruno Scalzo Dees, 2019, IEEE Transactions on Neural Networks and Learning Systems.

The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes

Danilo P. Mandic, Clive Cheong Took, D. Mandic, 2009, IEEE Transactions on Signal Processing.

Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG

Tzyy-Ping Jung, Yu-Te Wang, Yijun Wang, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms?

Danilo P. Mandic, Huisheng Zhang, Huisheng Zhang, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Engineering Approaches to Conversational Informatics

Danilo P. Mandic, Tomasz M. Rutkowski, 2008 .

Physiological artifacts in scalp EEG and ear-EEG

Preben Kidmose, Danilo P. Mandic, Simon L. Kappel, 2017, Biomedical engineering online.

A Data Analytics Perspective of Power Grid Analysis-Part 2: Teaching Old Power Systems New Tricks [Lecture Notes]

Anthony G. Constantinides, Danilo P. Mandic, Yili Xia, 2019, IEEE Signal Processing Magazine.

Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?

Danilo P. Mandic, Ramaswamy Palaniappan, D. Mandic, 2005, ICANN.

A class of stochastic gradient algorithms with exponentiated error cost functions

Anthony G. Constantinides, Danilo P. Mandic, Christos Boukis, 2009, Digit. Signal Process..

Enabling R-peak detection in wearable ECG: Combining matched filtering and Hilbert transform

Danilo P. Mandic, Theerasak Chanwimalueang, Wilhelm von Rosenberg, 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

On the decomposition of multichannel nonstationary multicomponent signals

Ljubisa Stankovic, Danilo P. Mandic, Milos Brajovic, 2020, Signal Process..

Augmented second-order statistics of quaternion random signals

Danilo P. Mandic, Clive Cheong Took, D. Mandic, 2011, Signal Process..

EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2008, ICIC.

A novel method for determining the nature of time series

Danilo P. Mandic, Marc M. Van Hulle, Temujin Gautama, 2004, IEEE Transactions on Biomedical Engineering.

Vital signs from inside a helmet: A multichannel face-lead study

Danilo P. Mandic, David Looney, Theerasak Chanwimalueang, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A unifying framework for the analysis of quaternion valued adaptive filters

Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Phase-based brain consciousness analysis

Toshihisa Tanaka, Ling Li, Danilo P. Mandic, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Recurrent neural networks with trainable amplitude of activation functions

Danilo P. Mandic, S. L. Goh, Su Lee Goh, 2003, Neural Networks.

Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations pdf

Danilo P. Mandic, Bruno Scalzo Dees, Jean P. Chereau, 2019, ArXiv.

Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing

Danilo P. Mandic, Clive Cheong Took, Min Xiang, 2017, Signal Process..

Financial Stress Through Complexity Science

Anthony G. Constantinides, Danilo P. Mandic, Theerasak Chanwimalueang, 2016, IEEE Journal of Selected Topics in Signal Processing.

Bidimensional Multivariate Empirical Mode Decomposition With Applications in Multi-Scale Image Fusion

Danilo P. Mandic, Yili Xia, Bin Zhang, 2019, IEEE Access.

Post-Nonlinear Blind Extraction in the Presence of Ill-Conditioned Mixing

Danilo P. Mandic, Wai Yie Leong, W. Y. Leong, 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

Mean and Mean-Square Analysis of the Complex LMS Algorithm for Non-Circular Gaussian Signals

Danilo P. Mandic, Scott C. Douglas, 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

Emd via mEMD: multivariate noise-Aided Computation of Standard EMD

Danilo P. Mandic, Norden E. Huang, Cheolsoo Park, 2013, Adv. Data Sci. Adapt. Anal..

An adaptive diffusion quaternion LMS algorithm for distributed networks of 3D and 4D vector sensors

Danilo P. Mandic, Cyrus Jahanchahi, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Emotional States Estimation from Multichannel EEG Maps

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2008 .

Performance advantage of quaternion widely linear estimation: An approximate uncorrelating transform approach

Danilo P. Mandic, Scott C. Douglas, Min Xiang, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Affine-Projection Least-Mean-Magnitude-Phase Algorithms Using a Posteriori Updates

Danilo P. Mandic, Scott C. Douglas, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Theory of Digital filter banks Realized via multivariate Empirical mode Decomposition

Anthony G. Constantinides, Danilo P. Mandic, Min-Sung Koh, 2014, Adv. Data Sci. Adapt. Anal..

Self-stabilising adaptive three-phase transforms via widely linear modelling

Danilo P. Mandic, Sithan Kanna, 2017 .

An Online Method for Detecting Nonlinearity Within a Signal

Mo Chen, Danilo P. Mandic, Beth Jelfs, 2006, KES.

Algorithms for BER-Constrained Variable-Length Equalizers driven by Channel Response Knowledge over Frequency-Selective Radio Channel

Danilo P. Mandic, Armelle Wautier, Lionel Husson, 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

Upper bounds on the capacities of non-controllable finite-state channels using dynamic programming methods

Xiao Ma, Danilo P. Mandic, Aleksandar Kavcic, 2009, 2009 IEEE International Symposium on Information Theory.

In-Ear EEG From Viscoelastic Generic Earpieces: Robust and Unobtrusive 24/7 Monitoring

Preben Kidmose, Danilo P. Mandic, David Looney, 2016, IEEE Sensors Journal.

Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1 pdf

Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, 2016, ArXiv.

Performance Bounds of Quaternion Estimators

Danilo P. Mandic, Yili Xia, Cyrus Jahanchahi, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Multichannel spectral pattern separation - An EEG processing application -

Toshihisa Tanaka, Andrzej Cichocki, Danilo P. Mandic, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Communicative Interactivity - A Multimodal Communicative Situation Classification Approach

Danilo P. Mandic, Tomasz M. Rutkowski, 2005, ICANN.

Widely Linear Modeling for Frequency Estimation in Unbalanced Three-Phase Power Systems

Danilo P. Mandic, Dahir H. Dini, 2013, IEEE Transactions on Instrumentation and Measurement.

A modified Armijo rule for the online selection of learning rate of the LMS algorithm

Anthony G. Constantinides, Danilo P. Mandic, Lazaros Polymenakos, 2010, Digit. Signal Process..

A novel adaptive learning rate sequential blind source separation algorithm

Danilo P. Mandic, Jonathon A. Chambers, Maria G. Jafari, 2004, Signal Process..

Cascaded approach for microsleep data extraction

Danilo P. Mandic, Wai Yie Leong, W. Y. Leong, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Quaternion-valued short term forecasting of wind profile

Kazuyuki Aihara, Danilo P. Mandic, Clive Cheong Took, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Complementary Cost Functions for Complex and Quaternion Widely Linear Estimation

Danilo P. Mandic, Yili Xia, Min Xiang, 2019, IEEE Signal Processing Letters.

Exploiting Sparsity in Widely Linear Estimation

Danilo P. Mandic, Dahir H. Dini, 2013, ISWCS.

Identification of improper processes by variable tap-length complex-valued adaptive filters

Danilo P. Mandic, Clive Cheong Took, Bukhari Che Ujang, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

On the choice of parameters of the cost function in nested modular RNN's

Danilo P. Mandic, Jonathon A. Chambers, D. Mandic, 2000, IEEE Trans. Neural Networks Learn. Syst..

An enhanced bearing estimation technique for DIFAR sonobuoy underwater target tracking

Danilo P. Mandic, Dahir H. Dini, 2012 .

Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain

Kazuyuki Aihara, Danilo P. Mandic, Su Lee Goh, 2007, J. VLSI Signal Process..

Hearables: Feasibility and Validation of In-Ear Electrocardiogram

Danilo P. Mandic, Wilhelm von Rosenberg, Ghena Hammour, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The complex local mean decomposition

Danilo P. Mandic, Marc M. Van Hulle, David Looney, 2011, Neurocomputing.

On the Intrinsic Relationship Between the Least Mean Square and Kalman Filters [Lecture Notes]

Anthony G. Constantinides, Danilo P. Mandic, Sithan Kanna, 2015, IEEE Signal Processing Magazine.

Reply to "Comments on 'The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes'"

Danilo P. Mandic, Clive Cheong Took, 2019, IEEE Trans. Signal Process..

Hypergraph p-Laplacian: A Differential Geometry View

Hideyuki Suzuki, Danilo P. Mandic, Shota Saito, 2017, AAAI.

Empirical Mode Decomposition for Trivariate Signals

Danilo P. Mandic, Naveed ur Rehman, D. Mandic, 2010, IEEE Transactions on Signal Processing.

Tensor Ensemble Learning

Danilo P. Mandic, Ilya Kisil, Ahmad Moniri, 2018 .

Speech Enhancement Based on the Response Features of Facilitated EI Neurons

Allan Kardec Barros, Danilo P. Mandic, Tomasz M. Rutkowski, 2006, ICA.

Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models pdf

Danilo P. Mandic, Thiernithi Variddhisaï, D. Mandic, 2020, ArXiv.

Application of multivariate empirical mode decomposition for seizure detection in EEG signals

Danilo P. Mandic, Yili Xia, Naveed ur Rehman, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

A Data Analytics Perspective of the Clarke and Related Transforms in Power Grid Analysis

Danilo P. Mandic, Yili Xia, Anthony G. Constantinides, 2018, 1807.08720.

Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems pdf

Danilo P. Mandic, Yili Xia, Ron Shu-Yuen Hui, 2014, ArXiv.

Spatial auditory paradigms for brain computer/machine interfacing

Andrzej Cichocki, Danilo P. Mandic, Tomasz M. Rutkowski, 2009 .

Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]

Petar M. Djuric, Lajos Hanzo, Andrzej Cichocki, 2019, IEEE Signal Process. Mag..

A split quaternion nonlinear adaptive filter

Danilo P. Mandic, Aleksandar Kavcic, Clive Cheong Took, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

The Theory of Quaternion Matrix Derivatives

Danilo P. Mandic, Dongpo Xu, Dongpo Xu, 2014, IEEE Transactions on Signal Processing.

Estimating human response to taste using EEG

Danilo P. Mandic, David Looney, Cheolsoo Park, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Quaternion-Valued Echo State Networks

Danilo P. Mandic, Yili Xia, Cyrus Jahanchahi, 2015, IEEE Transactions on Neural Networks and Learning Systems.

On the derivation of the optimal payload size for packet based transmission over a binary symmetrical communication channel

Danilo P. Mandic, Ben P. Milner, Richard Harvey, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A non-linear state space frequency estimator for three-phase power systems

Danilo P. Mandic, Sayed Pouria Talebi, Sithan Kanna, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Widely Linear Adaptive Frequency Estimation of Unbalanced Three-Phase Power Systems

Danilo P. Mandic, Yili Xia, D. Mandic, 2012, IEEE Transactions on Instrumentation and Measurement.

A theoretical bound for the performance advantage of quaternion widely linear estimation

Danilo P. Mandic, Cyrus Jahanchahi, Sithan Kanna, 2014, 2014 19th International Conference on Digital Signal Processing.

Smart DSP for a Smarter Power Grid: Teaching Power System Analysis through Signal Processing

Anthony G. Constantinides, Danilo P. Mandic, Ahmad Moniri, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data pdf

Danilo P. Mandic, Harry J. Davies, Ghena Hammour, 2021, ArXiv.

Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting

Danilo P. Mandic, Giuseppe G. Calvi, Yao Lei Xu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Tensor Networks for Multi-Modal Non-Euclidean Data pdf

Danilo P. Mandic, Kriton Konstantinidis, Yao Lei Xu, 2021, ArXiv.

Innovation Starts With Education [From the Guest Editors]

Mónica F. Bugallo, Anthony G. Constantinides, Alan V. Oppenheim, 2021, IEEE Signal Processing Magazine.

Hearables: From in-ear Recording of Vital Signs and Neural Function to Doctorless Hospitals

Danilo P. Mandic, 2021, MECO.

Graph Theory for Metro Traffic Modelling

Anthony G. Constantinides, Danilo P. Mandic, Bruno Scalzo Dees, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Hearables: In-Ear Multimodal Brain Computer Interfacing

Danilo P. Mandic, Harry J. Davies, Metin Yarici, 2021, SpringerBriefs in Electrical and Computer Engineering.

Kernel Learning with Tensor Networks

Danilo P. Mandic, Kriton Konstantinidis, Shengxi Li, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Number of Channels in Multicomponent Nonstationary Noisy Signal Decomposition

Danilo P. Mandic, Isidora Stanković, Miloš Daković, 2021, 2021 25th International Conference on Information Technology (IT).

Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks pdf

Danilo P. Mandic, Ilya Kisil, Kriton Konstantinidis, 2021, ArXiv.

Deep neural network representation and Generative Adversarial Learning

Jürgen Schmidhuber, Danilo P. Mandic, Vasile Palade, 2021, Neural Networks.

Nonstationary Portfolios: Diversification in the Spectral Domain

Ljubisa Stankovic, Danilo P. Mandic, Bruno Scalzo, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Data Analytics Perspective of Fundamental Power Grid Analysis Techniques

Anthony G. Constantinides, Danilo P. Mandic, Yili Xia, 2021 .

Convergence of the RMSProp deep learning method with penalty for nonconvex optimization

Danilo P. Mandic, Dongpo Xu, Huisheng Zhang, 2021, Neural Networks.

A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals

Danilo P. Mandic, Yili Xia, Wenjiang Pei, 2020, IEEE Transactions on Signal Processing.

Robust PCA Through Maximum Correntropy Power Iterations

Danilo P. Mandic, Bruno Scalzo, Jean P. Chereau, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A layer-wise distribution analysis of the WLMMSE-SIC MIMO receiver for rectilinear or quasi-rectilinear signals

Danilo P. Mandic, Wei Deng, Zhe Li, 2021, Signal Process..

Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification

Ljubisa Stankovic, Danilo P. Mandic, Bruno Scalzo, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

HOTTBOX: Higher Order Tensor ToolBOX pdf

Danilo P. Mandic, Ilya Kisil, Giuseppe G. Calvi, 2021, ArXiv.

Pearl: Parallel Evolutionary and Reinforcement Learning Library

Anthony G. Constantinides, Danilo P. Mandic, Rohan Tangri, 2022 .

Complex Valued Adaptive Filters

Vanessa Su Lee Goh, Danilo P. Mandic, 2009 .

Regular nonlinear response of the driven Duffing oscillator to chaotic time series

Danilo P. Mandic, Yang Baojun, D. Mandic, 2009 .

Analyzing the EEG Energy of Quasi Brain Death using MEMD

Danilo P. Mandic, Jianting Cao, Yunchao Yin, 2011 .

A widely linear affine projection algorithm

Danilo P. Mandic, Yili Xia, Soroush Javidi, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

THE AUGMENTED COMPLEX LEAST MEAN SQUARE ALGORITHM WITH APPLICATION TO ADAPTIVE PREDICTION PROBLEMS 1

Danilo P. Mandic, Soroush Javidi, S. L. Goh, 2008 .

A Unifying Approach to the Derivation of the Class of PNLMS Algorithms

Andrzej Cichocki, Danilo P. Mandic, Beth Jelfs, 2007, 2007 15th International Conference on Digital Signal Processing.

An improved solution to the subband blind source separation permutation problem based on optimized filter banks

Wei Liu, Danilo P. Mandic, W. Liu, 2010, 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP).

Pain Prediction From ECG in Vascular Surgery

Danilo P. Mandic, Wilhelm Von Rosenberg, Valentin Goverdovsky, 2017, IEEE Journal of Translational Engineering in Health and Medicine.

Blind Source Separation Based on Generalised Canonical Correlation Analysis and Its Adaptive Realization

Andrzej Cichocki, Danilo P. Mandic, Wei Liu, 2008, 2008 Congress on Image and Signal Processing.

Resolving Ambiguities in the LF/HF Ratio: LF-HF Scatter Plots for the Categorization of Mental and Physical Stress from HRV

Danilo P. Mandic, Theerasak Chanwimalueang, Wilhelm von Rosenberg, 2017, Front. Physiol..

Steady state analysis of the CLMS and augmented CLMS algorithms for noncircular complex signals

Danilo P. Mandic, Yili Xia, Scott C. Douglas, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

Novel design of oversampled GDFT filter banks for application to subband based blind source separation

Danilo P. Mandic, Wei Liu, Wei Liu, 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).

Demystifying the Coherence Index in Compressive Sensing

Danilo P. Mandic, Ilya Kisil, Miloš Daković, 2019 .

A Unifying Approach to Quaternion Adaptive Filtering: Addressing the Gradient and Convergence

Danilo P. Mandic, Cyrus Jahanchahi, 2013 .

On Predictability of Atmospheric Pollution Time Series

Danilo P. Mandic, Igor R. Krcmar, Robert J. Foxall, 2001 .

Widely linear complex extended Kalman filters

Danilo P. Mandic, Dahir H. Dini, 2011 .

Evaluation of neural network, statistical and deterministic models against the measured concentrations of NO2, PM10 and PM2.5 in an urban area

Gavin C. Cawley, Danilo P. Mandic, Mikko Kolehmainen, 2002 .

Blind source extraction based on a linear predictor

Andrzej Cichocki, Wei Liu, Danilo P. Mandic, 2007 .

Augmented Complex Statistics

Vanessa Su Lee Goh, Danilo P. Mandic, 2009 .

Quaternion-valued short term joint forecasting of three-dimensional wind and atmospheric parameters

Kazuyuki Aihara, Danilo P. Mandic, G. Strbac, 2011 .

Towards Affective BCI/BMI Paradigms - Analysis of fEEG and fNIRS Brain Responses to Emotional Speech and Facial Videos

Andrzej Cichocki, Danilo P. Mandic, Qibin Zhao, 2011 .

Optimisation of real functions of complex matrices for the adaptive estimation of complex sources

Danilo P. Mandic, Anthony Kuh, Soroush Javidi, 2010, The 2010 International Conference on Green Circuits and Systems.

Kurtosis Based Blind Source Extraction of Complex Noncircular Signals with Application in EEG Artifact Removal

Danilo P. Mandic, Soroush Javidi, D. Mandic, 2010 .

A Yarbus-style experiment to determine auditory attention

Preben Kidmose, Danilo P. Mandic, David Looney, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.