A. Papandreou-Suppappola

发表

Probabilistic Fatigue Damage Localization at Unknown Temperatures Using Guided Wave Methods

Yongming Liu, A. Papandreou-Suppappola, M. Y. Fard, 2013 .

Damage Detection in Blade-Stiffened Anisotropic Composite Panels Using Lamb Wave Mode Conversions

A. Papandreou-Suppappola, M. Y. Fard, 2012 .

Damage Classi fi cation for Structural Health Monitoring Using Time-Frequency Feature Extraction and Continuous Hidden Markov Models

D. Cochran, N. Kovvali, A. Chattopadhyay, 2008 .

Statistical Signal Processing for Graphs by Nadya Travinin Bliss A Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Approved April 2015 by the Graduate Supervisory Committee: Manfred Laubichler, Co-Chair Carlos Castillo-Chavez, Co-Chair

M. Laubichler, A. Papandreou-Suppappola, 2015 .

Analysis and classification of time-varying signals with multiple time-frequency structures

Antonia Papandreou-Suppappola, Seth B. Suppappola, A. Papandreou-Suppappola, 2002, IEEE Signal Processing Letters.

Multi-target tracking using multi-modal sensing withwaveform configuration

Jun Jason Zhang, Antonia Papandreou-Suppappola, Muralidhar Rangaswamy, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

MULTI-TARGET TRACKING USING MULTI-MODAL SENSING WITH WAVEFORM CONFIGURATION

Muralidhar Rangaswamy, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2010 .

Multiple Neural Artifacts Suppression Using Gaussian Mixture Modeling and Probability Hypothesis Density Filtering

Daniel P. Bliss, C. Chakrabarti, N. Kovvali, 2014 .

Waveform-Agile for Tracking

Darryl Morrell, Ying Li, Muralidhar Rangaswamy, 2009 .

The Design and Evaluation of a Kinect-Based Postural Symmetry Assessment and Training System

Varsha, P. Turaga, T. Ingalls, 2016 .

Time-Frequency Processing of Time-Varying Signals with Nonlinear Group Delay

A. Papandreou-Suppappola, 2003 .

Urban Terrain Multiple Target Tracking Using The Probability Hypothesis Density Particle Filter

C. Tepedelenlioğlu, N. Kovvali, A. Papandreou-Suppappola, 2011 .

Adaptive learning of immunosignaturing peptide array features for biothreat detection and classification

Jun Jason Zhang, Antonia Papandreou-Suppappola, Narayan Kovvali, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved November 2010 by the Graduate Supervisory Committee: Srikanth Saripalli, Chair

Baoxin Li, A. Papandreou-Suppappola, Anchit Dhar, 2010 .

Multipath diversity and channel estimation using time-varying chirps in CDMA systems with unknown CSI

Hao Shen, A. Papandreou-Suppappola, A. Papandreou-Suppappola, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Low Complexity Wireless Communication Digital Baseband Design by Shunyao Wu A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved July 2017 by the Graduate Supervisory Committee: Chaitali Chakrabarti, Chair

C. Chakrabarti, A. Papandreou-Suppappola, Hyunseok Lee, 2017 .

Advanced design and specifications of TFDs

Douglas L. Jones, Boualem Boashash, Richard G. Baraniuk, 2015 .

TIME-FREQUENCY METHODS FOR STRUCTURAL HEALTH MONITORING

D. Cochran, N. Kovvali, A. Chattopadhyay, 2008 .

Bayesian Nonparametric Learning and Knowledge Transfer for Object Tracking Under Unknown Time-Varying Conditions

A. Papandreou-Suppappola, Omar Alotaibi, 2022, Frontiers in Signal Processing.

Detection, classification, and estimation in the (t, f ) domain

Boualem Boashash, Gerald Matz, Ghasem Azemi, 2016 .

Time-frequency diagnosis, condition monitoring, and fault detection

Boualem Boashash, Azeddine Beghdadi, Edward J. Powers, 2016 .

CHARACTERIZATION OF SEA CLUTTER BASED ON ESTIMATED SPACE-T IME COVARIANCE MATRIX FROM REAL DATASET

S. P. Sira, D. Morrell, D. Cochran, 2008 .

Time-Frequency Analysis of Peptide Microarray Data: Application to Brain Cancer Immunosignatures

P. Stafford, A. Papandreou-Suppappola, A. Maurer, 2015, Cancer informatics.

Random Processes and Noise Analysis: Statistical Processing of Dispersive Systems and Signals

G. Boudreaux-Bartels, A. Papandreou-Suppappola, B. Iem, 2003 .

New classes of quadratic time-frequency representations with scale covariance and generalized time-shift covariance: Analysis, detection, and estimation

Antonia Papandreou-Suppappola, A. Papandreou-Suppappola, 1995 .

A Complete Recipe for Bayesian Knowledge Transfer: Object Tracking

A. Papandreou-Suppappola, Bahman Moraffah, 2022, ArXiv.

Parallel Gibbs Sampler for Wavelet-Based Bayesian Compressive Sensing with High Reconstruction Accuracy

C. Chakrabarti, A. Papandreou-Suppappola, Jian Zhou, 2020, Journal of Signal Processing Systems.

Power Dissipation and Surface Charge in EEG: Application to Eigenvalue Structure of Integral Operators

Antonia Papandreou-Suppappola, Francisco J Solis, A. Papandreou-Suppappola, 2020, IEEE Transactions on Biomedical Engineering.

Adaptive waveform design in rapidly-varying radar scenes

Darryl Morrell, Antonia Papandreou-Suppappola, Ying Li, 2009, 2009 International Waveform Diversity and Design Conference.

Monte-Carlo Based Estimation Methods for Rapidly-Varying Sea Clutter

Darryl Morrell, Antonia Papandreou-Suppappola, Ying Li, 2009, 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop.

Adaptive Sensing of Dynamic Target State in Heavy Sea Clutter

D. Morrell, A. Papandreou-Suppappola, S.P. Sira, 2007, 2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing.

Sequential MCMC Estimation of Nonlinear Instantaneous Frequency

Ying Li, Darryl Morrell, Antonia Papandreou-Suppappola, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

The use of particle filtering with the unscented transform to schedule sensors multiple steps ahead

Darryl Morrell, Antonia Papandreou-Suppappola, Amit S. Chhetri, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Scheduling multiple sensors using particle filters in target tracking

A. Papandreou-Suppappola, D. Morrell, A.S. Chhetri, 2003, IEEE Workshop on Statistical Signal Processing, 2003.

Multiple Target Tracking in Urban Environments

Jun Jason Zhang, Antonia Papandreou-Suppappola, Meng Zhou, 2016, IEEE Transactions on Signal Processing.

Probability hypothesis density filtering with multipath-to-measurement association for urban tracking

Meng Zhou, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Waveform-agile sensing for tracking

A. Papandreou-Suppappola, Ying Li, M. Rangaswamy, 2009, IEEE Signal Processing Magazine.

Dynamic Configuration of Time-Varying Waveforms for Agile Sensing and Tracking in Clutter

Darryl Morrell, Antonia Papandreou-Suppappola, Sandeep Prasad Sira, 2007, IEEE Transactions on Signal Processing.

Waveform-agile tracking in heavy sea clutter

A. Papandreou-Suppappola, D. Morrell, S.P. Sira, 2007, 2007 International Waveform Diversity and Design Conference.

Waveform-Agile Sensing for Tracking Multiple Targets in Clutter

D. Morrell, D. Cochran, A. Papandreou-Suppappola, 2006, 2006 40th Annual Conference on Information Sciences and Systems.

Characterization of waveform performance in clutter for dynamically configured sensor systems

Darryl Morrell, Antonia Papandreou-Suppappola, Sandeep P. Sira, 2006, 2006 International Waveform Diversity & Design Conference.

Multiple target tracking with constrained motion using particle filtering methods

A. Papandreou-Suppappola, D. Morrell, I. Kyriakides, 2005, 1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005..

Waveform design and scheduling for agile sensors for target tracking

A. Papandreou-Suppappola, D. Morrell, S.P. Sira, 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

Sequential Markov chain Monte Carlo filter with simultaneous model selection for electrocardiogram signal modeling

Antonia Papandreou-Suppappola, Shwetha Edla, Narayan Kovvali, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Electrocardiogram signal modeling using interacting multiple models

Antonia Papandreou-Suppappola, Shwetha Edla, Narayan Kovvali, 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Efficient Bayesian Tracking of Multiple Sources of Neural Activity: Algorithms and Real-Time FPGA Implementation

Chaitali Chakrabarti, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2013, IEEE Transactions on Signal Processing.

Multiple target track-before-detect in compound Gaussian clutter

Antonia Papandreou-Suppappola, Samuel P. Ebenezer, A. Papandreou-Suppappola, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Applications of Deep Learning in Medical Imaging Diagnosis by Suryadipto Sarkar A Thesis Presented in Partial Fulfillment of the Requirements for the Degree Master of Science Approved June 2021 by the Graduate Supervisory Committee: Teresa Wu, Chair

Baoxin Li, Alvin C. Silva, H. Yoon, 2021 .

Waveform processing for protein multi-alignment by mapping location, structure and property function attributes

Brian O'Donnell, Antonia Papandreou-Suppappola, Alexander Maurer, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

An adaptive learning damage estimation method for structural health monitoring

Antonia Papandreou-Suppappola, Narayan Kovvali, Aditi Chattopadhyay, 2015 .

Adaptive learning for damage classification in structural health monitoring

A. Papandreou-Suppappola, J. J. Zhang, D. Chakraborty, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

Dependent Dirichlet Process Modeling and Identity Learning for Multiple Object Tracking

Antonia Papandreou-Suppappola, Bahman Moraffah, A. Papandreou-Suppappola, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Multiple sensor sequential tracking of neural activity: Algorithm and FPGA implementation

Chaitali Chakrabarti, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

Noise analysis and random processes in the (t, f ) domain

Igor Djurovic, Ljubisa Stankovic, Vladimir Katkovnik, 2016 .

Time-Frequency Separation of Matched-Waveform Signatures of Coexisting Multimodal Systems

Antonia Papandreou-Suppappola, John S. Kota, Vineet Sunil Gattani, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

SNR threshold region prediction via singular value decomposition of the Barankin bound kernel

Antonia Papandreou-Suppappola, John S. Kota, A. Papandreou-Suppappola, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Adaptive Waveform Design for Improved Detection of Low-RCS Targets in Heavy Sea Clutter

A. Robert Calderbank, Darryl Morrell, Stephen D. Howard, 2007, IEEE Journal of Selected Topics in Signal Processing.

Time-varying techniques for multisensor signal detection

Antonia Papandreou-Suppappola, Douglas Cochran, Kofi Ghartey, 2006, IEEE Transactions on Signal Processing.

Wideband time-varying interference suppression using matched signal transforms

Hao Shen, Antonia Papandreou-Suppappola, A. Papandreou-Suppappola, 2005, IEEE Transactions on Signal Processing.

Classification of Acoustic Emissions Using Modified Matching Pursuit

Antonia Papandreou-Suppappola, Seth B. Suppappola, Samuel P. Ebenezer, 2004, EURASIP J. Adv. Signal Process..

Detecting faults in structures using time-frequency techniques

Antonia Papandreou-Suppappola, Seth B. Suppappola, Samuel Pon Varma, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Multi-channel signal detection using time-varying estimation techniques

Antonia Papandreou-Suppappola, Douglas Cochran, Kofi Ghartey, 2001, Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467).

On the Use of Binary Programming for Sensor Scheduling

Darryl Morrell, Antonia Papandreou-Suppappola, Amit S. Chhetri, 2007, IEEE Transactions on Signal Processing.

Sensor Scheduling using a 0-1 Mixed Integer Programming Framework

A. Papandreou-Suppappola, D. Morrell, A.S. Chhetri, 2006, Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006..

Sensor scheduling and efficient algorithm implementation for target tracking

Darryl Morrell, Antonia Papandreou-Suppappola, A. S. Chhetri, 2006 .

Multi-Yield Radio Frequency Countermeasures Investigations and Development (MYRIAD) Task Order 006: Integrated Multi-Modal RF Sensing

Ram M. Narayanan, Steven Kay, Antonia Papandreou-Suppappola, 2012 .

A multidisciplinary approach to structural health monitoring and damage prognosis of aerospace hotspots

Antonia Papandreou-Suppappola, Narayan Kovvali, Aditi Chattopadhyay, 2009, The Aeronautical Journal (1968).

Adaptive learning of immunosignaturing features for multi-disease pathologies

Antonia Papandreou-Suppappola, Narayan Kovvali, Brian O'Donnell, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Structural damage detection with insufficient data using transfer learning techniques

Antonia Papandreou-Suppappola, Narayan Kovvali, Aditi Chattopadhyay, 2011, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Damage Classification Structural Health Monitoring in Bolted Structures Using Time-frequency Techniques

Antonia Papandreou-Suppappola, Narayan Kovvali, Douglas Cochran, 2009 .

On the Use of Hidden Markov Modeling and Time-frequency Features for Damage Classification in Composite Structures

Antonia Papandreou-Suppappola, Narayan Kovvali, Douglas Cochran, 2009 .

The power classes-quadratic time-frequency representations with scale covariance and dispersive time-shift covariance

Antonia Papandreou-Suppappola, Franz Hlawatsch, Gloria Faye Boudreaux-Bartels, 1999, IEEE Trans. Signal Process..

Quadratic Time-Frequency Representations with Scale Covariance and Generalized Time-Shift Covariance: A Unified Framework for the Affine, Hyperbolic, and Power Classes

Antonia Papandreou-Suppappola, Franz Hlawatsch, Gloria Faye Boudreaux-Bartels, 1998, Digit. Signal Process..

The hyperbolic class of quadratic time-frequency representations. II. Subclasses, intersection with the affine and power classes, regularity, and unitarity

Antonia Papandreou-Suppappola, Franz Hlawatsch, Gloria Faye Boudreaux-Bartels, 1997, IEEE Trans. Signal Process..

Power class time-frequency representations: interference geometry, smoothing, and implementation

A. Papandreou-Suppappola, F. Hlawatsch, F. Hlawatsch, 1996, Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96).

The hyperbolic class of quadratic time-frequency representations. I. Constant-Q warping, the hyperbolic paradigm, properties, and members

Antonia Papandreou-Suppappola, Franz Hlawatsch, Gloria Faye Boudreaux-Bartels, 1993, IEEE Trans. Signal Process..

Sensor optimization for progressive damage diagnosis in complex structures

Antonia Papandreou-Suppappola, Narayan Kovvali, Aditi Chattopadhyay, 2010, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Time-Varying Modeling of Land Cover Change Dynamics Due to Forest Fires

Ayan Banerjee, Sandeep K. S. Gupta, Antonia Papandreou-Suppappola, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Time-varying wideband underwater acoustic channel estimation for OFDM communications

Dario Fertonani, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Compressive sensing and waveform design for the identification of Linear time-varying systems

Jun Jason Zhang, Antonia Papandreou-Suppappola, A. Papandreou-Suppappola, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discrete time-scale characterization of wideband time-varying systems

Antonia Papandreou-Suppappola, Ye Jiang, A. Papandreou-Suppappola, 2006, IEEE Transactions on Signal Processing.

Nonstationary System Analysis Methods for Underwater Acoustic Communications

Jun Jason Zhang, Antonia Papandreou-Suppappola, Tolga M. Duman, 2011, EURASIP J. Adv. Signal Process..

Discrete Time-Scale Characterization of Wideband

Antonia Papandreou-Suppappola, Ye Jiang, A. Papandreou-Suppappola, 2006 .

An underwater acoustic communication scheme exploiting biological sounds

Meng Zhou, Antonia Papandreou-Suppappola, Tolga M. Duman, 2016, Wirel. Commun. Mob. Comput..

Time-varying multichirp rate modulation for multiple access systems

Hao Shen, Antonia Papandreou-Suppappola, Charu Gupta, 2004, IEEE Signal Processing Letters.

Group delay shift covariant quadratic time-frequency representations

Antonia Papandreou-Suppappola, Byeong-Gwan Iem, Robin L. Murray, 2001, IEEE Trans. Signal Process..

Wideband discrete transformation of acoustic signals in underwater environments

Cornel Ioana, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

Suppression of neurostimulation artifacts and adaptive clustering of Parkinson's patients behavioral tasks using EEG

Antonia Papandreou-Suppappola, Adam O. Hebb, Sara J. Hanrahan, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Adaptive High-Resolution Sensor Waveform Design for Tracking

Darryl Morrell, Antonia Papandreou-Suppappola, Ioannis Kyriakides, 2010, Adaptive High-Resolution Sensor Waveform Design for Tracking.

Monte Carlo Matching Pursuit Decomposition Method for Damage Quantification in Composite Structures

A. Papandreou-Suppappola, A. Chattopadhyay, I. Kyriakides, 2009 .

On the use of the matching pursuit decomposition signal processing technique for structural health monitoring

Antonia Papandreou-Suppappola, Aditi Chattopadhyay, Santanu Das, 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Generalized Recursive Track-Before-Detect With Proposal Partitioning for Tracking Varying Number of Multiple Targets in Low SNR

Antonia Papandreou-Suppappola, Samuel P. Ebenezer, A. Papandreou-Suppappola, 2016, IEEE Transactions on Signal Processing.

Multiple interface brain and head models for EEG: A surface charge approach

Antonia Papandreou-Suppappola, F. J. Solisi, A. Papandreou-Suppappola, 2017, 2017 51st Asilomar Conference on Signals, Systems, and Computers.

Surface charge method for the forward EEG problem

Antonia Papandreou-Suppappola, Francisco J. Solis, A. Papandreou-Suppappola, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Low RCS Target Tracking in Estimated Rapidly Varying Sea Clutter Using a Kronecker Product Approximation Algorithm

Antonia Papandreou-Suppappola, Samuel P. Ebenezer, A. Papandreou-Suppappola, 2015, IEEE Journal of Selected Topics in Signal Processing.

Estimation of rapidly varying sea clutter using nearest Kronecker product approximation

Antonia Papandreou-Suppappola, Samuel P. Ebenezer, A. Papandreou-Suppappola, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An overview of recent advances on distributed and agile sensing algorithms and implementation

Ying Li, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2015, Digit. Signal Process..

Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation

Jun Jason Zhang, Antonia Papandreou-Suppappola, Narayan Kovvali, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

Adaptive parameter estimation of cardiovascular signals using sequential Bayesian techniques

Chaitali Chakrabarti, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.

Discrete Time-Frequency Characterizations of Dispersive Linear Time-Varying Systems

Antonia Papandreou-Suppappola, Ye Jiang, A. Papandreou-Suppappola, 2007, IEEE Transactions on Signal Processing.

Classes of smoothed Weyl symbols

A. Papandreou-Suppappola, G. Boudreaux-Bartels, A. Papandreou-Suppappola, 2000, IEEE Signal Processing Letters.

Diversity and channel estimation using time-varying signals and time-frequency techniques

Hao Shen, Antonia Papandreou-Suppappola, A. Papandreou-Suppappola, 2006, IEEE Transactions on Signal Processing.

Channel estimation using time-frequency techniques

Hao Shen, Antonia Papandreou-Suppappola, A. Papandreou-Suppappola, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Jamming interference suppression and multiuser detection for DSSS systems in time-frequency selective channels

H. Shen, A.A. Papandreou-Suppappola, A. Papandreou-Suppappola, 2003, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689).

Wideband chirp modulation for FH-CDMA wireless systems: coherent and non-coherent receiver structures

Antonia Papandreou-Suppappola, Charu Gupta, Moushumi Zaman, 2003, IEEE International Conference on Communications, 2003. ICC '03..

Waveform Mapping and Time-Frequency Processing of DNA and Protein Sequences

Andreas Spanias, Zoé Lacroix, Antonia Papandreou-Suppappola, 2011, IEEE Transactions on Signal Processing.

Hyperbolic frequency modulation for multiple users in underwater acoustic communications

Meng Zhou, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An underwater acoustic communications scheme with inherent scale diversity for multiple users

Jun Jason Zhang, Antonia Papandreou-Suppappola, Tolga M. Duman, 2013, 2013 OCEANS - San Diego.

Time-scale and dispersive processing for wideband time-varying channels

Cornel Ioana, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2011 .

Parallel Gibbs Sampler for Wavelet-Based Bayesian Compressive Sensing with High Reconstruction Accuracy

Jian Zhou, Antonia Papandreou-Suppappola, Chaitali Chakrabarti, 2020, J. Signal Process. Syst..

Multipath exploitationwith adaptivewaveform design for tracking in urban terrain

Ying Li, Darryl Morrell, Jun Jason Zhang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Applications in Time-Frequency Signal Processing

Antonia Papandreou-Suppappola, A. Papandreou-Suppappola, 2002 .

Ultrasonic sensing and time-frequency analysis for detecting plastic deformation in an aluminum plate

Aditi Chattopadhyay, Antonia Papandreou-Suppappola, Narayan Kovvali, 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Switching Langevin Dynamics for Gene Regulatory Networks

A. Papandreou-Suppappola, Bahman Moraffah, Nayely Vélez-Cruz, 2022, 2022 56th Asilomar Conference on Signals, Systems, and Computers.

Energy efficient target tracking in a sensor network using non-myopic sensor scheduling

A. Papandreou-Suppappola, D. Morrell, A.S. Chhetri, 2005, 2005 7th International Conference on Information Fusion.

Time-varying interference suppression in communication systems using time-frequency signal transforms

A. Papandreou-Suppappola, S. Chetwani, A. Papandreou-Suppappola, 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

Sequential Monte Carlo Methods for Tracking Multiple Targets With Deterministic and Stochastic Constraints

Darryl Morrell, Antonia Papandreou-Suppappola, Ioannis Kyriakides, 2008, IEEE Transactions on Signal Processing.

Automated Land Cover Change Detection and Mapping from Hidden Parameter Estimates of Normalized Difference Vegetation Index (NDVI) Time-Series

A. Papandreou-Suppappola, S. Chakraborty, A. Banerjee, 2017 .

Adaptive EEG artifact suppression using Gaussian mixture modeling

Antonia Papandreou-Suppappola, Francisco J. Solis, Alexander Maurer, 2015, 2015 49th Asilomar Conference on Signals, Systems and Computers.

EEG/MEG artifact suppression for improved neural activity estimation

Chaitali Chakrabarti, Jun Jason Zhang, Antonia Papandreou-Suppappola, 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

Joint Design of Transmit Waveforms for Object Tracking in Coexisting Multimodal Sensing Systems

Antonia Papandreou-Suppappola, John S. Kota, A. Papandreou-Suppappola, 2019, Sensors.

Nonstationary signal design for coexisting radar and communications systems

Antonia Papandreou-Suppappola, Garry M. Jacyna, John S. Kota, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Multi-source Neural Activity Estimation and Sensor Scheduling: Algorithms and Hardware Implementation

Chaitali Chakrabarti, Antonia Papandreou-Suppappola, Narayan Kovvali, 2013, J. Signal Process. Syst..

Active learning data selection for adaptive online structural damage estimation

Antonia Papandreou-Suppappola, Narayan Kovvali, Aditi Chattopadhyay, 2010, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Time-Frequency Characterization and Receiver Waveform Design for Shallow Water Environments

Jun Jason Zhang, Antonia Papandreou-Suppappola, Cornel Ioana, 2009, IEEE Transactions on Signal Processing.

Wideband Weyl symbols for dispersive time-varying processing of systems and random signals

Antonia Papandreou-Suppappola, Byeong-Gwan Iem, Gloria Faye Boudreaux-Bartels, 2002, IEEE Trans. Signal Process..

Distributions for time-frequency analysis: a generalization of Choi-Williams and the Butterworth distribution

Antonia Papandreou-Suppappola, Gloria Faye Boudreaux-Bartels, G. Boudreaux-Bartels, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Using a Configurable Integrated Sensing And Processing Imager to Track Multiple Targets

A. Papandreou-Suppappola, D. Morrell, I. Kyriakides, 2008, 2008 IEEE Aerospace Conference.

Multiple mode track-before-detect for multiple targets

Antonia Papandreou-Suppappola, Samuel P. Ebenezer, A. Papandreou-Suppappola, 2012, 2012 International Waveform Diversity & Design Conference (WDD).

Waveform-agile track-before-detect for low observable targets

Jun Jason Zhang, Antonia Papandreou-Suppappola, Ryan Piwowarski, 2012, 2012 International Waveform Diversity & Design Conference (WDD).

MIMO Radar with Frequency Diversity

Jun Jason Zhang, Antonia Papandreou-Suppappola, A. Papandreou-Suppappola, 2009, 2009 International Waveform Diversity and Design Conference.

Nonparametric Bayesian Methods and the Dependent Pitman-Yor Process for Modeling Evolution in Multiple Object Tracking

Antonia Papandreou-Suppappola, Muralidhar Rangaswamy, Bahman Moraffah, 2019, 2019 22th International Conference on Information Fusion (FUSION).

A COMBINED RESEARCH AND CURRICULUM PROGRAM IN SIGNAL PROCESSING FOR COMMUNICATIONS

Andreas Spanias, Venkatraman Atti, Antonia Papandreou-Suppappola, 2005 .

Biosequence time–frequency processing: Pathogen detection and identification

Antonia Papandreou-Suppappola, Brian O'Donnell, A. Maurer, 2015 .

Bradycardia Prediction in Preterm Infants Using Nonparametric Kernel Density Estimation

Antonia Papandreou-Suppappola, Ayan Banerjee, Bahman Moraffah, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Electrocardiogram Signal Modeling With Adaptive Parameter Estimation Using Sequential Bayesian Methods

Antonia Papandreou-Suppappola, Shwetha Edla, Narayan Kovvali, 2014, IEEE Transactions on Signal Processing.

Estimation of dynamic parameters of MODIS NDVI time series nonlinear model using particle filtering

Sandeep K. S. Gupta, Antonia Papandreou-Suppappola, Ayan Banerjee, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Interference Mitigation in Spectrum Sharing Environments Using Time- Frequency Processing and Feature Clustering

A. Papandreou-Suppappola, Yimin D. Zhang, Bahman Moraffah, 2022, 2022 56th Asilomar Conference on Signals, Systems, and Computers.

Nonmyopic Sensor Scheduling and its Efficient Implementation for Target Tracking Applications

Darryl Morrell, Antonia Papandreou-Suppappola, Amit S. Chhetri, 2006, EURASIP J. Adv. Signal Process..