Milos Dakovic

发表

Two-component bivariate signal decomposition based on time-frequency analysis

Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

An algorithm for robust image watermarking based on the DCT and Zernike moments

Irena Orovic, Srdjan Stankovic, Milos Dakovic, 2017, Multimedia Tools and Applications.

Compressive Sensing Inspired Multivariate Median

Ljubisa Stankovic, Milos Dakovic, 2019, Circuits Syst. Signal Process..

Introduction to Graph Signal Processing

Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic, 2018, Signals and Communication Technology.

An Example-Driven Introduction to Data Analytics on Graphs

Ljubisa Stankovic, Ilya Kisil, Milos Dakovic, 2019, 1903.11179.

Algorithm for signal decomposition by using the S-method

Ljubisa Stankovic, Milos Dakovic, T. Thayaparan, 2005, 2005 13th European Signal Processing Conference.

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

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

Sparse signal reconstruction based on random search procedure

Ljubisa Stankovic, Milos Dakovic, Milos Brajovic, 2017, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Analysis of noise in complex-valued binary and bipolar sigmoid compressive sensing

Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, 2019, Telfor Journal.

Quantization in Compressive Sensing: A Signal Processing Approach

Ljubisa Stankovic, Cornel Ioana, Milos Brajovic, 2019, IEEE Access.

S-Method-Based Approach for Image Formation, Motion Compensation, and Image Enhancement of Moving Targerts in ISAR and SAR

LJubisa Stankovic, Milos Dakovic, T. Thayaparan, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

On the Decomposition of Multivariate Nonstationary Multicomponent Signals pdf

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

Local Smoothness of Graph Signals

Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic, 2019, Mathematical Problems in Engineering.

Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications

Anthony G. Constantinides, Shengxi Li, Milos Brajovic, 2020, Found. Trends Mach. Learn..

From the STFT to the Wigner Distribution [Lecture Notes]

Srdjan Stankovic, Ljubisa Stankovic, Milos Dakovic, 2014, IEEE Signal Processing Magazine.

A Unifying Analysis of Shift Operators on a Graph pdf

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

Time-frequency signal reconstruction of nonsparse audio signals

Cornel Ioana, Milos Dakovic, Isidora Stankovic, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Adaptive local polynomial Fourier transform

Igor Djurovic, Ljubisa Stankovic, Milos Dakovic, 2002, 2002 11th European Signal Processing Conference.

Statistical performance analyzer for compressive sensing gradient algorithm

Irena Orovic, Ljubisa Stankovic, Milos Dakovic, 2015, 2015 57th International Symposium ELMAR (ELMAR).

Effect of Random Sampling on Noisy Nonsparse Signals in Time-Frequency Analysis

Cornel Ioana, Milos Dakovic, Milos Brajovic, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Neural networks application to Neretva basin hydro-meteorological data

Milos Dakovic, Milos Brajovic, Budimir Lutovac, 2016, 2016 13th Symposium on Neural Networks and Applications (NEUREL).

Decomposition of Time-varying Multicomponent Signals using Time-Frequency Based Method

LJubisa Stankovic, Milos Dakovic, T. Thayaparan, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

Inverse radon transform–based micro-doppler analysis from a reduced set of observations

Ljubisa Stankovic, Milos Dakovic, Vesna Popovic, 2015, IEEE Transactions on Aerospace and Electronic Systems.

Analysis of Real Overvoltage Disturbances by Using Nonstationary Signal Processing Techniques

Milos Dakovic, S. Vujosevic, S. Mujovic, 2015 .

Vertex-Frequency Graph Signal Processing pdf

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

Separation and reconstruction of the rigid body and micro-Doppler signal in ISAR part I – theory

Irena Orovic, Ljubisa Stankovic, Milos Dakovic, 2015 .

Local Polynomial Fourier Transform Receiver for Nonstationary Interference Excision in DSSS Communications

LJubisa Stankovic, Milos Dakovic, Slobodan Djukanovic, 2008, IEEE Transactions on Signal Processing.

RANSAC-Based Signal Denoising Using Compressive Sensing pdf

Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, 2020, ArXiv.

Time-frequency decomposition of multivariate multicomponent signals

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

An algorithm for decomposition of heart sounds based on S-method

Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic, 2007, 2007 15th European Signal Processing Conference.

On the parameterization of Hermite transform with application to the compression of QRS complexes

Irena Orovic, Srdjan Stankovic, Milos Dakovic, 2017, Signal Process..

The DCT domain sparsity-assisted detection and recovery of impulsively disturbed samples

Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, 2020 .

Conditions for Unique Reconstruction of Sparse Signals Using Compressive Sensing Methods pdf

Irena Orovic, Srdjan Stankovic, Ljubisa Stankovic, 2017, ArXiv.

Vertex-Frequency Graph Signal Processing: A review

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

Instantaneous Frequency Estimation Using the ${\rm S}$ -Transform

Jin Jiang, Ljubisa Stankovic, Milos Dakovic, 2008, IEEE Signal Processing Letters.

Real-time motion compensation, image formation and image enhancement of moving targets in ISAR and SAR using S-methodbased approach

Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, 2008 .

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

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

Data Analytics on Graphs Part II: Signals on Graphs

Ljubisa Stankovic, Shengxi Li, Milos Brajovic, 2020, Found. Trends Mach. Learn..

Vertex-Frequency Energy Distributions

Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic, 2018, IEEE Signal Processing Letters.

Estimation of sinusoidally modulated signal parameters based on the inverse Radon transform

Ljubisa Stankovic, Milos Dakovic, 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

Concentration measures with an adaptive algorithm for processing sparse signals

Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic, 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

Mutual interference and low probability of interception capabilities of noise radar

Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, 2008 .

An architecture for hardware realization of compressive sensing Gradient algorithm

Irena Orovic, Milos Dakovic, Stefan Vujovic, 2015, 2015 4th Mediterranean Conference on Embedded Computing (MECO).

Time-Frequency Signal Analysis With Applications

Ljubisa Stankovic, Milos Dakovic, Thayannathan Thayaparan, 2013 .

Reconstruction of Sparse Signals in Impulsive Disturbance Environments

Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic, 2017, Circuits Syst. Signal Process..

Combination of gradient based and single iteration reconstruction algorithms for sparse signals

Irena Orovic, Srdjan Stankovic, Ljubisa Stankovic, 2017, IEEE EUROCON 2017 -17th International Conference on Smart Technologies.

Bit error probability approximation for short-time Fourier transform based nonstationary interference excision in DS-SS systems

LJubisa Stankovic, Milos Dakovic, Slobodan Djukanovic, 2009, Signal Process..

Iterative denoising of sparse images

Irena Orovic, Srdjan Stankovic, Milos Dakovic, 2016, 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Instantaneous frequency in time-frequency analysis: Enhanced concepts and performance of estimation algorithms

Srdjan Stankovic, Igor Djurovic, Ljubisa Stankovic, 2014, Digit. Signal Process..

Compressive Sensing Methods for Reconstruction of Big Sparse Signals

Ljubisa Stankovic, Milos Dakovic, Isidora Stankovic, 2018 .

Unitary Shift Operators on a Graph pdf

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

An algorithm for detecting a maneuvering target based on TFR and Viterbi algorithm

Ljubisa Stankovic, Milos Dakovic, Predrag Rakovic, 2010, 2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD).

S-method in radar imaging

Ljubisa Stankovic, Milos Dakovic, Vesna Popovic, 2006, 2006 14th European Signal Processing Conference.

Micro-Doppler Removal in the Radar Imaging Analysis

Ljubisa Stankovic, Milos Dakovic, Vesna Popovic, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Time-frequency representations-based detector of chaos in oscillatory circuits

Igor Djurovic, Milos Dakovic, Vesna Rubezic, 2006, Signal Process..

On the reconstruction of nonsparse time-frequency signals with sparsity constraint from a reduced set of samples

Milos Dakovic, Isidora Stankovic, Cornel Ioana, 2018, Signal Process..

Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs pdf

Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, 2019, ArXiv.

Focusing Distorted ISAR Images Using the S-method

LJubisa Stankovic, Milos Dakovic, T. Thayaparan, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

Nonsparsity influence on the ISAR recovery from reduced data [Correspondence]

Ljubisa Stankovic, Milos Dakovic, Isidora Stankovic, 2016, IEEE Transactions on Aerospace and Electronic Systems.

Error in the Reconstruction of Nonsparse Images

Cornel Ioana, Ljubisa Stankovic, Milos Dakovic, 2018 .

Autofocusing of SAR images based on parameters estimated from the PHAF

LJubisa Stankovic, Igor Djurovic, Milos Dakovic, 2010, Signal Process..

Sparse Signal Reconstruction–Introduction

Irena Orovic, Srdjan Stankovic, Ljubisa Stankovic, 2017 .

Denoising of sparse images in impulsive disturbance environment

Irena Orovic, Srdjan Stankovic, Milos Dakovic, 2018, Multimedia Tools and Applications.

A parametric method for non-stationary interference suppression in direct sequence spread-spectrum systems

LJubisa Stankovic, Milos Dakovic, Vesna Popovic, 2011, Signal Process..

A real-time time-frequency based instantaneous frequency estimator

Ljubisa Stankovic, Milos Dakovic, T. Thayaparan, 2013, Signal Process..

On the fixed-point rounding in the DFT

Ljubisa Stankovic, Milos Dakovic, Budimir Lutovac, 2017, IEEE EUROCON 2017 -17th International Conference on Smart Technologies.

Time-Frequency Analysis for Sar and Isar Imaging

Igor Djurovic, Ljubisa Stankovic, Milos Dakovic, 2009 .

Micro-Doppler parameter estimation from a fraction of the period

Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, 2010 .

Data Analytics on Graphs Part I: Graphs and Spectra on Graphs

Anthony G. Constantinides, Shengxi Li, Milos Brajovic, 2020, Found. Trends Mach. Learn..

A procedure for optimal pulse selection strategy in radar imaging systems

Milos Dakovic, Srdjan Stankovic, Ljubiss Stankovic, 2016, 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).

Architecture for single iteration reconstruction algorithm

Irena Orovic, Milos Dakovic, Andjela Draganic, 2015, 2015 4th Mediterranean Conference on Embedded Computing (MECO).

Improvement of the fast moving targets presentation in ISAR by using the S-method

Ljubisa Stankovic, Milos Dakovic, T. Thayaparan, 2005, 2005 13th European Signal Processing Conference.

The analysis of missing samples in signals sparse in the hermite transform domain

Irena Orovic, Milos Dakovic, Milos Brajovic, 2015, 2015 23rd Telecommunications Forum Telfor (TELFOR).

Compressive sensing of signals sparse in 2D Hermite transform domain

Irena Orovic, Milos Dakovic, Milos Brajovic, 2016, 2016 International Symposium ELMAR.

Vertex-Frequency Analysis: A Way to Localize Graph Spectral Components [Lecture Notes]

Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic, 2017, IEEE Signal Processing Magazine.

Reconstruction of Randomly Sampled Sparse Signals Using an Adaptive Gradient Algorithm pdf

Ljubisa Stankovic, Milos Dakovic, L. Stanković, 2014, ArXiv.

Method for non-stationary jammer suppression in noise radar systems

Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, 2010 .

Decomposition of multichannel multicomponent nonstationary signals by combining the eigenvectors of autocorrelation matrix using genetic algorithm

Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, 2020, Digit. Signal Process..

Comparison of the L1-magic and the gradient algorithm for sparse signals reconstruction

Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic, 2014, 2014 22nd Telecommunications Forum Telfor (TELFOR).

A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing

Irena Orovic, Srdjan Stankovic, Ljubisa Stankovic, 2018, Circuits Syst. Signal Process..

Windowing methods for graph signal localization

Ljubisa Stankovic, Milos Dakovic, Ervin Sejdic, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Performance of quadratic time-frequency distributions as instantaneous frequency estimators

Ljubisa Stankovic, Milos Dakovic, Veselin N. Ivanovic, 2003, IEEE Trans. Signal Process..

Gradient algorithm based ISAR image reconstruction from the incomplete dataset

Ljubisa Stankovic, Milos Dakovic, Srdjan Stankovic, 2015, 2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).

On the decomposition of multichannel nonstationary multicomponent signals

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

Time–frequency-based detection of fast manoeuvring targets

Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, 2010 .

Sparse signal recovery based on concentration measures and genetic algorithm

Irena Orovic, Milos Dakovic, Milos Brajovic, 2016, 2016 13th Symposium on Neural Networks and Applications (NEUREL).

Decomposition and analysis of signals sparse in the dual polynomial Fourier transform

Cornel Ioana, Milos Dakovic, Isidora Stankovic, 2018, Microprocess. Microsystems.

Adaptive gradient based algorithm for complex sparse signal reconstruction

Irena Orovic, Ljubisa Stankovic, Milos Dakovic, 2014, 2014 22nd Telecommunications Forum Telfor (TELFOR).

Overlapping blocks in reconstruction of sparse images

Irena Orovic, Milos Dakovic, Isidora Stankovic, 2017, 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Sar Images Improvements by Using The S-Method

Ljubisa Stankovic, Milos Dakovic, Vesna Popovic, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Microsoft Word-MECO_paper pdf

Irena Orovic, Srdjan Stankovic, Milos Dakovic, 2015 .

On the S-method based instantaneous frequency estimation

Ljubisa Stankovic, Milos Dakovic, Veselin N. Ivanovic, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Adaptive S-Method for SAR/ISAR Imaging

LJubisa Stankovic, Igor Djurovic, Milos Dakovic, 2008, EURASIP J. Adv. Signal Process..

Instantaneous frequency estimation by using time-frequency distributions

Igor Djurovic, Ljubisa Stankovic, Milos Dakovic, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

The reconstruction of 2D sparse signals by exploiting transform coefficients variances

Irena Orovic, Srdjan Stankovic, Milos Dakovic, 2017, IEEE EUROCON 2017 -17th International Conference on Smart Technologies.

Comparative Analysis of Regression and Neural Network Models on Students' Grades

Milos Dakovic, Luka Filipovic, Vladimir Gazivoda, 2021, 2021 10th Mediterranean Conference on Embedded Computing (MECO).

Improved Coherence Index-Based Bound in Compressive Sensing

Ljubisa Stankovic, Milos Dakovic, Danilo Mandic, 2021, IEEE Signal Processing Letters.

Gradient-based signal reconstruction algorithm in Hermite transform domain

Irena Orovic, Srdjan Stankovic, Milos Dakovic, 2016 .

Chapter 3 - Non-Stationary Signal Analysis Time-Frequency Approach

Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, 2014 .

On the Uniqueness of the Sparse Signals Reconstruction Based on the Missing Samples Variation Analysis

Ljubisa Stankovic, Milos Dakovic, L. Stanković, 2015 .