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Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 06/2010, Volume 58, Issue 6, pp. 3042 - 3054
Journal Article
by Ma, MY and Mei, SH and Wan, S and Hou, JH and Wang, ZY and Feng, DDG
NEUROCOMPUTING, ISSN 0925-2312, 02/2020, Volume 378, pp. 197 - 209
The explosive growth of video data has raised new challenges for many video processing tasks such as video browsing and retrieval, hence, effective and... 
Block-sparsity | RECOVERY | Dictionary selection | SIGNALS | Sparse representation | Video summarization | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 02/2017, Volume 65, Issue 4, pp. 998 - 1012
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 2020, Volume 68, pp. 49 - 64
Multiple-input multiple-output (MIMO) millimeter wave (mmWave) communication is a key technology for next generation wireless networks. One of the consequences... 
mmWave | beam squint | block sparsity | Channel estimation | Signal processing algorithms | massive MIMO | Delays | Channel models | angle-delay reciprocity | Uplink | MIMO communication | Antenna arrays
Journal Article
Signal Processing, ISSN 0165-1684, 05/2019, Volume 158, pp. 129 - 140
Narrowband interference (NBI) is a common interference pattern in direct-sequence spread-spectrum (DSSS) communications. NBI mitigation is a very important... 
Compressive sensing | FBSBL_EM | Block sparsity | NBI mitigation | DSSS communications | SIGNAL RECOVERY | NARROW-BAND INTERFERENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Signal Processing, ISSN 0165-1684, 01/2015, Volume 106, pp. 215 - 230
Tonals generated by machineries with rotating elements typically have a harmonic structure with unknown fundamental frequencies, amplitude, harmonic order and... 
Block-sparsity | BOGA | Order statistic | Signal detection | Analysis | Algorithms | Detectors
Journal Article
Pattern Recognition, ISSN 0031-3203, 06/2012, Volume 45, Issue 6, pp. 2390 - 2404
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 09/2011, Volume 59, Issue 9, pp. 4300 - 4312
Journal Article
IEEE TRANSACTIONS ON SIGNAL PROCESSING, ISSN 1053-587X, 09/2015, Volume 63, Issue 17, pp. 4516 - 4531
In many applications of compressed sensing the signal is block sparse, i.e., the non-zero elements of the sparse signal are clustered in blocks. Here, we... 
iterative recovery algorithms | SUPPORT | compressed sensing | APPROXIMATION | RECONSTRUCTION | CDMA | Block sparsity | l/lminimization | iterative reweighted l/lminimization | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Information Theory, ISSN 0018-9448, 07/2019, Volume 65, Issue 7, pp. 4434 - 4456
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2019, Volume 88, pp. 198 - 209
By exploiting the low-dimensional structure of high-dimensional data, sparse representation based classifiers (SRC) has recently attracted massive attention in... 
Subspace | Representation based classifier | Block sparsity | M-estimator | REGRESSION | MINIMIZATION | ALGORITHM | FACE RECOGNITION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Information science | Algorithms | Mathematical optimization | Biometry
Journal Article
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), ISSN 1058-6393, 11/2012, pp. 958 - 962
In this paper, the problem of identifying the common sparsity support of multiple measurement vectors (MMV) is considered. The model is given by y[n] = Ax s... 
Multiple Measurement Vector (MMV) | Correlation | Block Sparsity | LASSO | Support Recovery
Conference Proceeding
IEEE Transactions on Signal Processing, ISSN 1053-587X, 05/2012, Volume 60, Issue 5, pp. 2386 - 2395
Journal Article
IEEE Transactions on Vehicular Technology, ISSN 0018-9545, 05/2019, Volume 68, Issue 5, pp. 5145 - 5148
To reduce the pilot overhead of downlink channel estimation in massive multiple-input-multiple-output (MIMO) systems, a sparse recovery algorithm relying on... 
Correlation | Message passing | OFDM | Channel estimation | massive MIMO | Approximation algorithms | Downlink | Block sparsity | Covariance matrices | MIMO communication | vector approximate message passing | channel estimation | MIMO (control systems) | Gaussian distribution | Algorithms | Normal distribution | Channels
Journal Article
Signal Processing, ISSN 0165-1684, 06/2017, Volume 135, pp. 67 - 80
Estimating the Direction of Arrival (DOA) of the signals received by a sensor array has been at the core of the array signal processing community for decades.... 
Block-sparsity | Sub-Nyquist sampling | Compressed sensing | Wideband signal delay | Wideband DOA | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Signal processing | Algorithms | Sensors | Analysis
Journal Article
by Jiao, YL and Jin, BT and Lu, XL
IEEE TRANSACTIONS ON SIGNAL PROCESSING, ISSN 1053-587X, 02/2017, Volume 65, Issue 4, pp. 998 - 1012
In thispaper, we propose and analyze a novel approach for group sparse recovery. It is based on regularized least squares with an l(0)(l(2)) penalty, which... 
global minimizer | REGRESSION | primal dual active set algorithm | block coordinatewise minimizer | l (l) penalty | SIGNAL RECOVERY | GROUP LASSO | VARIABLE SELECTION | blockwise mutual incoherence | ENGINEERING, ELECTRICAL & ELECTRONIC | Group sparsity | DESCENT METHOD | PURSUIT | MODELS | block sparsity | UNCERTAINTY PRINCIPLES | REGULARIZATION
Journal Article
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