Massoud Babaie-Zadeh

Orcid: 0000-0001-8864-4756

Affiliations:
  • Sharif University of Technology, Tehran, Iran


According to our database1, Massoud Babaie-Zadeh authored at least 134 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A New Approach for Graph Signal Separation Based on Smoothness.
IEEE Trans. Signal Process., 2024

2023
A fast dictionary-learning-based classification scheme using undercomplete dictionaries.
Signal Process., November, 2023

An outlier-robust smoothness-based graph learning approach.
Signal Process., May, 2023

An Improved GraDe Method for Blind Separation of Graph Signals.
IEEE Trans. Signal Process., 2023

A Closed-Form Solution for Graph Signal Separation Based on Smoothness.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain.
IEEE Trans. Signal Inf. Process. over Networks, 2023

Optimal Sensor Placement for Source Separation with Noisy Measurements.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
CorrIndex: A permutation invariant performance index.
Signal Process., 2022

2021
A part-level learning strategy for JPEG image recompression detection.
Multim. Tools Appl., 2021

2020
Dictionary learning with low mutual coherence constraint.
Neurocomputing, 2020

Low Mutual and Average Coherence Dictionary Learning Using Convex Approximation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Novel Pruning Approach for Bagging Ensemble Regression Based on Sparse Representation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

New Dictionary Learning Methods for Two-Dimensional Signals.
Proceedings of the 28th European Signal Processing Conference, 2020

Dynamic K-Graphs: an Algorithm for Dynamic Graph Learning and Temporal Graph Signal Clustering.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
K-Graphs: An Algorithm for Graph Signal Clustering and Multiple Graph Learning.
IEEE Signal Process. Lett., 2019

Text Mining with Constrained Tensor Decomposition.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

LOSoft: ℓ0 Minimization via Soft Thresholding.
Proceedings of the 27th European Signal Processing Conference, 2019

A New Algorithm for Dictionary Learning Based on Convex Approximation.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Sparse Signal Recovery Using Iterative Proximal Projection.
IEEE Trans. Signal Process., 2018

Learning Overcomplete Dictionaries from Markovian Data.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Joint Low Mutual and Average Coherence Dictionary Learning.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Multimodal Soft Nonnegative Matrix Co-Factorization for Convolutive Source Separation.
IEEE Trans. Signal Process., 2017

Blind Source Separation in Nonlinear Mixtures: Separability and a Basic Algorithm.
IEEE Trans. Signal Process., 2017

Invariancy of Sparse Recovery Algorithms.
IEEE Trans. Inf. Theory, 2017

Incoherent Unit-Norm Frame Design via an Alternating Minimization Penalty Method.
IEEE Signal Process. Lett., 2017

Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing.
IEEE Signal Process. Lett., 2017

Compressive detection of sparse signals in additive white Gaussian noise without signal reconstruction.
Signal Process., 2017

A novel forensic image analysis tool for discovering double JPEG compression clues.
Multim. Tools Appl., 2017

Blind compensation of polynomial mixtures of Gaussian signals with application in nonlinear blind source separation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A New Algorithm for Multimodal Soft Coupling.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Accelerated Dictionary Learning for Sparse Signal Representation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

A robust ellipse fitting algorithm based on sparsity of outliers.
Proceedings of the 25th European Signal Processing Conference, 2017

A new algorithm for training sparse autoencoders.
Proceedings of the 25th European Signal Processing Conference, 2017

A generalization of weighted sparse decomposition to negative weights.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Iterative Sparsification-Projection: Fast and Robust Sparse Signal Approximation.
IEEE Trans. Signal Process., 2016

Successive Concave Sparsity Approximation for Compressed Sensing.
IEEE Trans. Signal Process., 2016

Upper bounds on the error of sparse vector and low-rank matrix recovery.
Signal Process., 2016

Quantization-Unaware Double JPEG Compression Detection.
J. Math. Imaging Vis., 2016

Two multimodal approaches for single microphone source separation.
Proceedings of the 24th European Signal Processing Conference, 2016

Regularized low-coherence overcomplete dictionary learning for sparse signal decomposition.
Proceedings of the 24th European Signal Processing Conference, 2016

Nonlinear blind source separation for sparse sources.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Image Restoration Using Gaussian Mixture Models With Spatially Constrained Patch Clustering.
IEEE Trans. Image Process., 2015

Performance guarantees for Schatten-p quasi-norm minimization in recovery of low-rank matrices.
Signal Process., 2015

Multi-antenna assisted spectrum sensing in spatially correlated noise environments.
Signal Process., 2015

Successive Concave Sparsity Approximation: Near-Oracle Performance in a Wide Range of Sparsity Levels.
CoRR, 2015

Image interpolation using Gaussian Mixture Models with spatially constrained patch clustering.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A Dictionary Learning Method for Sparse Representation Using a Homotopy Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Blind Source Separation in Nonlinear Mixture for Colored Sources Using Signal Derivatives.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A MAP-Based Order Estimation Procedure for Sparse Channel Estimation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Learning Overcomplete Dictionaries Based on Atom-by-Atom Updating.
IEEE Trans. Signal Process., 2014

Iterative Concave Rank Approximation for Recovering Low-Rank Matrices.
IEEE Trans. Signal Process., 2014

Recovery of Low-Rank Matrices Under Affine Constraints via a Smoothed Rank Function.
IEEE Trans. Signal Process., 2014

Corrigendum to "ISI sparse channel estimation based on SL0 and its application in ML sequence-by-sequence equalization" [Signal Processing 92 (2012) 1875-1885].
Signal Process., 2014

SR-NBS: A fast sparse representation based N-best class selector for robust phoneme classification.
Eng. Appl. Artif. Intell., 2014

Outlier-aware dictionary learning for sparse representation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

DOA estimation in partially correlated noise using low-rank/sparse matrix decomposition.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

A fast phoneme recognition system based on sparse representation of test utterances.
Proceedings of the 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014

A study on clustering-based image denoising: From global clustering to local grouping.
Proceedings of the 22nd European Signal Processing Conference, 2014

K-LDA: An algorithm for learning jointly overcomplete and discriminative dictionaries.
Proceedings of the 22nd European Signal Processing Conference, 2014

Scale Invariant Feature Transform using oriented pattern.
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014

2013
Dictionary Learning for Sparse Representation: A Novel Approach.
IEEE Signal Process. Lett., 2013

Approximated Cramér-Rao bound for estimating the mixing matrix in the two-sensor noisy Sparse Component Analysis (SCA).
Digit. Signal Process., 2013

Sparse Channel Estimation by Factor Graphs.
CoRR, 2013

Learning overcomplete dictionaries based on parallel atom-updating.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Dictionary learning for sparse decomposition: A new criterion and algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013

Sequential subspace finding: A new algorithm for learning low-dimensional linear subspaces.
Proceedings of the 21st European Signal Processing Conference, 2013

A new algorithm for learning overcomplete dictionaries.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
On the Achievability of Cramér-Rao Bound in Noisy Compressed Sensing.
IEEE Trans. Signal Process., 2012

ISI sparse channel estimation based on SL0 and its application in ML sequence-by-sequence equalization.
Signal Process., 2012

A proper transform for satisfying Benford's Law and its application to double JPEG image forensics.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2012

Weighted sparse signal decomposition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A projected gradient-based algorithm to unmix hyperspectral data.
Proceedings of the 20th European Signal Processing Conference, 2012

How to use real-valued sparse recovery algorithms for complex-valued sparse recovery?
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Corrections to "On the Stable Recovery of the Sparsest Overcomplete Representations in Presence of Noise" [Oct 10 5396-5400].
IEEE Trans. Signal Process., 2011

On the Error of Estimating the Sparsest Solution of Underdetermined Linear Systems.
IEEE Trans. Inf. Theory, 2011

Two-dimensional random projection.
Signal Process., 2011

Linear-quadratic blind source separating structure for removing show-through in scanned documents.
Int. J. Document Anal. Recognit., 2011

Watermarking Based on Independent Component Analysis in Spatial Domain.
Proceedings of the 13th UKSim-AMSS International Conference on Computer Modelling and Simulation, Cambridge University, Emmanuel College, Cambridge, UK, 30 March, 2011

SRF: Matrix completion based on smoothed rank function.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
On the stable recovery of the sparsest overcomplete representations in presence of noise.
IEEE Trans. Signal Process., 2010

Bayesian Hypothesis Testing for Sparse Representation
CoRR, 2010

Bayesian Cramér-Rao Bound for Noisy Non-Blind and Blind Compressed Sensing
CoRR, 2010

Sparse Recovery using Smoothed ℓ<sup>0</sup> (SL0): Convergence Analysis
CoRR, 2010

Parametric dictionary learning using steepest descent.
Proceedings of the IEEE International Conference on Acoustics, 2010

An entropy based method for activation detection of functional MRI data using Independent Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

Adaptive and Non-adaptive ISI Sparse Channel Estimation Based on SL0 and Its Application in ML Sequence-by-Sequence Equalization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

An Alternating Minimization Method for Sparse Channel Estimation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Using Non-Negative Matrix Factorization for Removing Show-Through.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Fast Block-Sparse Decomposition Based on SL0.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
An iterative Bayesian algorithm for sparse component analysis in presence of noise.
IEEE Trans. Signal Process., 2009

A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed ell <sup>0</sup> Norm.
IEEE Trans. Signal Process., 2009

Image Denoising Using Sparse Representations.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Image Coding and Compression with Sparse 3D Discrete Cosine Transform.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Two dimensional compressive classifier for sparse images.
Proceedings of the International Conference on Image Processing, 2009

Bayesian Pursuit algorithm for sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2009

Thresholded smoothed-<i>l</i><sup>0</sup>(SL0) dictionary learning for sparse representations.
Proceedings of the IEEE International Conference on Acoustics, 2009

Inflating compressed samples: A joint source-channel coding approach for noise-resistant compressed sensing.
Proceedings of the IEEE International Conference on Acoustics, 2009

Sparse decomposition of two dimensional signals.
Proceedings of the IEEE International Conference on Acoustics, 2009

Robust-SL0 for stable sparse representation in noisy settings.
Proceedings of the IEEE International Conference on Acoustics, 2009

Sparse Decomposition over non-full-rank dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2009

<i>k</i>/<i>K</i>-Nearest Neighborhood Criterion for Improvement of Locally Linear Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

Two Dimensional Compressive Classifier for Sparse Images.
Proceedings of the Sixth International Conference on Computer Graphics, 2009

k/K-Nearest Neighborhood Criterion for Improving Locally Linear Embedding.
Proceedings of the Sixth International Conference on Computer Graphics, 2009

2008
On the Cramér-Rao Bound for Estimating the Mixing Matrix in Noisy Sparse Component Analysis.
IEEE Signal Process. Lett., 2008

Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering.
Neurocomputing, 2008

Sparse Component Analysis (SCA) in Random-valued and Salt and Pepper Noise Removal
CoRR, 2008

A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting
CoRR, 2008

Approximate Sparse Decomposition Based on Smoothed L0-Norm
CoRR, 2008

A fast approach for overcomplete sparse decomposition based on smoothed L0 norm
CoRR, 2008

Decoding real-field codes by an iterative Expectation-Maximization (EM) algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2008

Complex-valued sparse representation based on smoothed <i>l</i><sup>0</sup> norm.
Proceedings of the IEEE International Conference on Acoustics, 2008

A first step to convolutive sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2008

Estimating the mixing matrix in Sparse Component Analysis (SCA) using EM algorithm and iterative Bayesian clustering.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

A nonlinear blind source separation solution for removing the show-through effect in the scanned documents.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA) using consecutive independent component analysis (ICA).
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Source Estimation in Noisy Sparse Component Analysis.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Estimating the Mixing Matrix in Sparse Component Analysis Based on Converting a Multiple Dominant to a Single Dominant Problem.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Fast Sparse Representation Based on Smoothed <i>l</i><sup>0</sup> Norm.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Quasi-optimal EASI algorithm based on the Score Function Difference (SFD).
Neurocomputing, 2006

Sparse ICA via cluster-wise PCA.
Neurocomputing, 2006

A new approach for sparse decomposition and sparse source separation.
Proceedings of the 14th European Signal Processing Conference, 2006

Semi-Blind Approaches for Source Separation and Independent component Analysis.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
A general approach for mutual information minimization and its application to blind source separation.
Signal Process., 2005

A new method for separation of speech signals in convolutive mixtures.
Proceedings of the 13th European Signal Processing Conference, 2005

A new method for estimating score function difference (SFD) and its application to Blind Source Separation.
Proceedings of the 13th European Signal Processing Conference, 2005

ICA by mutual information minimization: An approach for avoiding local minima.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Differential of the mutual information.
IEEE Signal Process. Lett., 2004

Three easy ways for separating nonlinear mixtures?
Signal Process., 2004

A minimization-projection (MP) approach for blind separating convolutive mixtures.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Blind Source Separation by Adaptive Estimation of Score Function Difference.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

A Geometric Approach for Separating Several Speech Signals.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2002
A geometric approach for separating post non-linear mixtures.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Separating Convolutive Mixtures by Mutual Information Minimization.
Proceedings of the Bio-inspired Applications of Connectionism, 2001


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