Joint intersymbol and multiple-access interference suppression algorithms for CDMA systems. - Soosan Beheshti; Gregory W. Wornell; Steven H. Isabelle (Eur. Trans. Telecommun., 1998)

On model quality evaluation of stable LTI systems. - Soosan Beheshti; Munther A. Dahleh (CDC, 2000)

Minimum description complexity. - Soosan Beheshti (2002)

A new minimum description length. - Soosan Beheshti; Munther A. Dahleh (ACC, 2003)

LTI systems, additive noise, and order estimation. - Soosan Beheshti; Munther A. Dahleh (CDC, 2003)

Noise variance in signal denoising. - Soosan Beheshti; Munther A. Dahleh (ICASSP (6), 2003)

A new information-theoretic approach to signal denoising and best basis selection. - Soosan Beheshti; Munther A. Dahleh (IEEE Trans. Signal Process., 2005)

A New Approach to Order Selection and Parametric Spectrum Estimation. - Soosan Beheshti (ICASSP (3), 2006)

Optimum Segmentation and Windowing in Nonparametric Power Spectral Density Estimation. - Soosan Beheshti; Sudeshna Pal (DSP, 2007)

Data Compression and Linear Modeling. - Soosan Beheshti (DCC, 2008)

Kullback-Leibler distance in linear parametric modeling. - Soosan Beheshti (ISIT, 2008)

A noiseless code length method (NCLM) to estimate dimensionality of hyperspectral data. - Masoud Farzam; Soosan Beheshti (ICASSP, 2009)

Noiseless Codelength in Wavelet Denoising. - Soosan Beheshti; Azadeh Fakhrzadeh; Sridhar Krishnan 001 (EURASIP J. Adv. Signal Process., 2010)

Adaptive Noise Variance Estimation in BayesShrink. - Masoud Hashemi; Soosan Beheshti (IEEE Signal Process. Lett., 2010)

Noisy data and impulse response estimation. - Soosan Beheshti; Munther A. Dahleh (IEEE Trans. Signal Process., 2010)

Noise Invalidation Denoising. - Soosan Beheshti; Masoud Hashemi; Xiao-Ping (Steven) Zhang; Nima Nikvand (IEEE Trans. Signal Process., 2010)

Information theoretic assessment of correlated noise in hyperspectral signal unmixing. - Masoud Farzam; Soosan Beheshti (CCECE, 2011)

Speech recognition from adaptive windowing PSD estimation. - Maryam Ravan; Soosan Beheshti (CCECE, 2011)

Robust hyperspectral signal unmixing in the presence of correlated noise. - Masoud Farzam; Soosan Beheshti (ICASSP, 2011)

Mean Square Error Estimation in Thresholding. - Soosan Beheshti; Masoud Hashemi; Ervin Sejdic; Tom Chau (IEEE Signal Process. Lett., 2011)

Simultaneous Denoising and Intrinsic Order Selection in Hyperspectral Imaging. - Masoud Farzam; Soosan Beheshti (IEEE Trans. Geosci. Remote. Sens., 2011)

Mean-Square Error in Periodogram Approaches With Adaptive Windowing. - Soosan Beheshti; Maryam Ravan; James P. Reilly; Laurel J. Trainor (IEEE Trans. Signal Process., 2011)

Hyperspectral image compression using 3D discrete cosine transform and support vector machine learning. - Azam Karami; Soosan Beheshti; Mehran Yazdi (ISSPA, 2012)

Minimum noiseless description length (MNDL) based regularization parameter selection. - Saeed Pouryazdian; Soosan Beheshti; Sridhar Sri Krishnan (ISSPA, 2012)

Improving X-means clustering with MNDL. - Mahdi Shahbaba; Soosan Beheshti (ISSPA, 2012)

Region covariance descriptors calculated over the salient points for target tracking. - Serdar Çakir; Tayfun Aytaç; Alper Yildirim; Soosan Beheshti; Ömer Nezih Gerek; A. Enis Çetin (SIU, 2012)

Blind source separation in characterizing ECG pre-shock waveforms during ventricular fibrillation. - M. Rasooli; Farbod Hosseyndoust Foomany; Krishnanand Balasundaram; Stéphane Massé; Nima Zamiri; Andrew Ramadeen; X. Hu; Paul Dorian; Kumaraswamy Nanthakumar; Soosan Beheshti; Karthikeyan Umapathy (EMBC, 2013)

Fast fan/parallel beam CS-based low-dose CT reconstruction. - SayedMasoud Hashemi; Soosan Beheshti; Patrick R. Gill; Narinder S. Paul; Richard S. C. Cobbold (ICASSP, 2013)

Hand posture recognition using K-NN and Support Vector Machine classifiers evaluated on our proposed HandReader dataset. - Ghassem Tofighi; Anastasios N. Venetsanopoulos; Kaamran Raahemifar; Soosan Beheshti; Helia Mohammadi (DSP, 2013)

Adaptive efficient sparse estimator achieving oracle properties. - Tohid Yousefi Rezaii; Mohammad Ali Tinati; Soosan Beheshti (IET Signal Process., 2013)

Model verification of GMM clustering based on signature testing. - Mahdi Shahbaba; Soosan Beheshti (CCECE, 2014)

Non-local total variation based low-dose Computed Tomography denoising. - SayedMasoud Hashemi; Soosan Beheshti; Richard S. C. Cobbold; Narinder S. Paul (EMBC, 2014)

BM3D mridenoising equipped with noise invalidation technique. - Pegah Elahi; Soosan Beheshti; Masoud Hashemi (ICASSP, 2014)

Efficient unimodality test in clustering by signature testing. - Mahdi Shahbaba; Soosan Beheshti (ICASSP, 2014)

Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling. - SayedMasoud Hashemi; Soosan Beheshti; Patrick R. Gill; Narinder S. Paul; Richard S. C. Cobbold (CoRR, 2014)

MACE-means clustering. - Mahdi Shahbaba; Soosan Beheshti (Signal Process., 2014)

Sparsity aware consistent and high precision variable selection. - Tohid Yousefi Rezaii; Mohammad Ali Tinati; Soosan Beheshti (Signal Image Video Process., 2014)

Adaptive Bayesian Denoising for General Gaussian Distributed Signals. - Masoud Hashemi; Soosan Beheshti (IEEE Trans. Signal Process., 2014)

Robustness of wavelet domain watermarking against scaling attack. - Yashar Naderahmadian; Soosan Beheshti (CCECE, 2015)

A realistic attack on SVD based watermarking scheme. - Yashar Naderahmadian; Soosan Beheshti (CCECE, 2015)

Competitive clustering of wireless sensor networks with ultra-wideband multiple-access relay channel. - Assad Sahebalam; Soosan Beheshti (CCECE, 2015)

Gaussian multiple-access relay channels with non-causal side information at the transmitters. - Assad Sahebalam; Soosan Beheshti (CWIT, 2015)

Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation. - Saeed Pouryazdian; Soosan Beheshti; Sridhar Krishnan 001 (EMBC, 2015)

A new approach for SSVEP detection using PARAFAC and canonical correlation analysis. - Richard M. G. Tello; Saeed Pouryazdian; André Ferreira; Soosan Beheshti; Sridhar Krishnan 001; Teodiano F. Bastos (EMBC, 2015)

Analysis of electrocardiogram pre-shock waveforms during ventricular fibrillation. - M. Rasooli; Farbod Hosseyndoust Foomany; Krishnanand Balasundaram; Stéphane Massé; Nima Zamiri; Andrew Ramadeen; X. Hu; Paul Dorian; Kumaraswamy Nanthakumar; Sridhar Krishnan 001; Soosan Beheshti; Karthikeyan Umapathy (Biomed. Signal Process. Control., 2015)

Accelerated Compressed Sensing Based CT Image Reconstruction. - SayedMasoud Hashemi; Soosan Beheshti; Patrick R. Gill; Narinder S. Paul; Richard S. C. Cobbold (Comput. Math. Methods Medicine, 2015)

Adaptively Tuned Iterative Low Dose CT Image Denoising. - SayedMasoud Hashemi; Narinder S. Paul; Soosan Beheshti; Richard S. C. Cobbold (Comput. Math. Methods Medicine, 2015)

Adaptive updating of regularization parameters. - SayedMasoud Hashemi; Soosan Beheshti; Richard S. C. Cobbold; Narinder S. Paul (Signal Process., 2015)

Similarity Validation Based Nonlocal Means Image Denoising. - Mina Sharifymoghaddam; Soosan Beheshti; Pegah Elahi; Masoud Hashemi (IEEE Signal Process. Lett., 2015)

Fuzzy Gain Scheduling of Subspace Predictive Controller. - Saba Sedghizadeh; Soosan Beheshti (ACC, 2016)

Reconstruction-error distortion in LTI system modeling. - Soosan Beheshti; Assad Sahebalam (CCECE, 2016)

A novel approach in household electricity consumption forecasting. - Assad Sahebalam; Soosan Beheshti; Wael Khreich; Edward W. Nidoy (CCECE, 2016)

Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach. - Saeed Pouryazdian; Andrew Chang 003; Dan J. Bosnyak; Laurel J. Trainor; Soosan Beheshti; Sridhar Krishnan 001 (EMBC, 2016)

CANDECOMP/PARAFAC model order selection based on Reconstruction Error in the presence of Kronecker structured colored noise. - Saeed Pouryazdian; Soosan Beheshti; Sridhar Krishnan 001 (Digit. Signal Process., 2016)

Generalized adaptive weighted recursive least squares dictionary learning. - Yashar Naderahmadian; Mohammad Ali Tinati; Soosan Beheshti (Signal Process., 2016)

Subband-dependent compressed sensing in local CT reconstruction. - SayedMasoud Hashemi; Soosan Beheshti; Richard S. C. Cobbold; Narinder S. Paul (Signal Image Video Process., 2016)

Signature test as statistical testing in clustering. - Mahdi Shahbaba; Soosan Beheshti (Signal Image Video Process., 2016)

Correlation Based Online Dictionary Learning Algorithm. - Yashar Naderahmadian; Soosan Beheshti; Mohammad Ali Tinati (IEEE Trans. Signal Process., 2016)

Kernel K-Mace Clustering. - Faizan Rahman; Soosan Beheshti (ACSSC, 2018)

Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning for Retinal Vessel Inpainting. - Yashar Naderahmadian; Soosan Beheshti (SSP, 2018)

ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework. - Tohid Yousefi Rezaii; Soosan Beheshti; Mahdi Shamsi; Siavash Eftekharifar (Biomed. Signal Process. Control., 2018)

Particle swarm optimization based fuzzy gain scheduled subspace predictive control. - Saba Sedghizadeh; Soosan Beheshti (Eng. Appl. Artif. Intell., 2018)

Data-driven subspace predictive control: Stability and horizon tuning. - Saba Sedghizadeh; Soosan Beheshti (J. Frankl. Inst., 2018)

Number of Source Signal Estimation by the Mean Squared Eigenvalue Error. - Soosan Beheshti; Saba Sedghizadeh (IEEE Trans. Signal Process., 2018)

Efficient Blinking Component Estimation in Subspace-Based EEG and MEG Analysis. - Younes Sadat-Nejad; Soosan Beheshti (ACSSC, 2019)

Automated EEG Source Error Thresholding (AESET) in L2-Regularization Inverse Problems. - Younes Sadat-Nejad; Soosan Beheshti (CWIT, 2019)

Correct Number of Clusters (CNC) Description Length in Arbitrary Shape Clustering. - Mahdi Shamsi; Faizan Rahman; Soosan Beheshti (CWIT, 2019)

Higher Resolution sLORETA (HR-sLORETA) in EEG Source Imaging. - Younes Sadat-Nejad; Soosan Beheshti (EMBC, 2019)

Block sparse multi-lead ECG compression exploiting between-lead collaboration. - Siavash Eftekharifar; Tohid Yousefi Rezaii; Soosan Beheshti; Sabalan Daneshvar (IET Signal Process., 2019)

Joint Preprocessing of Multiple Datasets to Enhance Source Separation. - Erfan Naghsh; Mohamad Farzan Sabahi; Soosan Beheshti (IEEE Signal Process. Lett., 2019)

Pole-Zero REM Modeling with Application in EEG Artifact Removal. - Farah Nassif; Tohid Yousefi Rezaii; Soosan Beheshti (EMBC, 2020)

MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression. - Mahdi Shamsi; Tohid Yousefi Rezaii; Soosan Beheshti (EMBC, 2020)

K-MACE and Kernel K-MACE Clustering. - Soosan Beheshti; Edward W. Nidoy; Faizan Rahman (IEEE Access, 2020)

Hyperspectral image classification based on sparse modeling of spectral blocks. - Saeideh Ghanbari Azar; Saeed Meshgini; Tohid Yousefi Rezaii; Soosan Beheshti (Neurocomputing, 2020)

Spatial analysis of EEG signals for Parkinson's disease stage detection. - Erfan Naghsh; Mohamad Farzan Sabahi; Soosan Beheshti (Signal Image Video Process., 2020)

Automatic Order Selection in Autoregressive Modeling with Application in EEG Sleep-Stage Classification. - Farah Nassif; Soosan Beheshti (ICASSP, 2021)

Centrality Based Number of Cluster Estimation in Graph Clustering. - Mahdi Shamsi; Soosan Beheshti (ICASSP, 2021)

Echocardiogram segmentation using active shape model and mean squared eigenvalue error. - Yasser Ali; Soosan Beheshti; Farrokh Janabi-Sharifi (Biomed. Signal Process. Control., 2021)

Echocardiographic image segmentation using deep Res-U network. - Yasser Ali; Farrokh Janabi-Sharifi; Soosan Beheshti (Biomed. Signal Process. Control., 2021)

Linear mixing model with scaled bundle dictionary for hyperspectral unmixing with spectral variability. - Saeideh Ghanbari Azar; Saeed Meshgini; Soosan Beheshti; Tohid Yousefi Rezaii (Signal Process., 2021)

Relative Entropy (RE) Based LTI System Modeling Equipped with time delay Estimation and Online Modeling. - Mahdi Shamsi; Soosan Beheshti (CoRR, 2022)

Granger Causality Pattern Learning Equipped with Noise Invalidation Soft Thresholding. - Khashayar Bayati; Karthikeyan Umapathy; Soosan Beheshti (EUSIPCO, 2023)

Relative Entropy (RE)-Based LTI System Modeling Equipped With Simultaneous Time Delay Estimation and Online Modeling. - Mahdi Shamsi; Soosan Beheshti (IEEE Access, 2023)

Developing an efficient functional connectivity-based geometric deep network for automatic EEG-based visual decoding. - Nastaran Khaleghi; Tohid Yousefi Rezaii; Soosan Beheshti; Saeed Meshgini (Biomed. Signal Process. Control., 2023)

Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models. - Soosan Beheshti; Mahdi Shamsi (CoRR, 2023)

Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes. - Shiva Asadzadeh; Tohid Yousefi Rezaii; Soosan Beheshti; Saeed Meshgini (Cogn. Comput., 2023)

A hybrid approach for tracking borders in echocardiograms. - Yasser Ali; Soosan Beheshti; Farrokh Janabi-Sharifi; Tohid Yousefi Rezaii; Asim N. Cheema; João Pedrosa (Signal Image Video Process., 2023)

Context-Aware Query Term Difficulty Estimation for Performance Prediction. - Abbas Saleminezhad; Negar Arabzadeh; Soosan Beheshti; Ebrahim Bagheri (ECIR (4), 2024)

Polynomial Regression Hyperparameter Selection and Analysis using Reconstruction Error Minimization (REM). - Soosan Beheshti; Mahdi Shamsi; Younes Sadat-Nejad; Miaosen Zhou (SDS, 2024)

Label Consistent Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning. - Mohadeseh Yousefi; Yashar Naderahmadian; Soosan Beheshti (IPAS, 2025)

Semi-Supervised Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning. - Mohadeseh Yousefi; Yashar Naderahmadian; Soosan Beheshti (IPAS, 2025)

Minimum Mismatch Modeling (3M) Hyperparameter Selection in Autoregressive Moving Average (ARMA) Modeling. - Soosan Beheshti; Vedant Bommanahally (IEEE Access, 2025)

ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling. - Soosan Beheshti; Mahdi Shamsi (IEEE Access, 2025)

Reliable truncation parameter selection and model order estimation for stochastic subspace identification. - Khashayar Bayati; Karthikeyan Umapathy; Soosan Beheshti (J. Frankl. Inst., 2025)

Robust query performance prediction for dense retrievers via adaptive disturbance generation. - Abbas Saleminezhad; Negar Arabzadeh; Radin Hamidi Rad; Soosan Beheshti; Ebrahim Bagheri (Mach. Learn., 2025)

Separability and scatteredness (S&S) ratio-based efficient SVM regularization parameter, kernel, and kernel parameter selection. - Mahdi Shamsi; Soosan Beheshti (Pattern Anal. Appl., 2025)