Access the full text.
Sign up today, get DeepDyve free for 14 days.
Lianhuan Wei, T. Balz, Lu Zhang, M. Liao (2015)
A Novel Fast Approach for SAR Tomography: Two-Step Iterative Shrinkage/ThresholdingIEEE Geoscience and Remote Sensing Letters, 12
S. Jamali, A. Bahmanyar (2016)
A new fault location method for distribution networks using sparse measurementsInternational Journal of Electrical Power & Energy Systems, 81
Yu Zhang, Guoxu Zhou, Jing Jin, Qibin Zhao, Xingyu Wang, A. Cichocki (2016)
Sparse Bayesian Classification of EEG for Brain–Computer InterfaceIEEE Transactions on Neural Networks and Learning Systems, 27
A. Chambolle, C. Dossal (2015)
On the Convergence of the Iterates of the “Fast Iterative Shrinkage/Thresholding Algorithm”Journal of Optimization Theory and Applications, 166
M. Abo-Zahhad, A. Hussein, Abdelfatah Mohamed (2015)
Compressive Sensing Algorithms for Signal Processing Applications: A SurveyInt'l J. of Communications, Network and System Sciences, 08
ET Hale, W Yin, Y Zhang (2008)
Fixed-point continuation for $$\ell _1$$ ℓ 1 -minimization: methodology and convergenceSIAM J Optim, 19
Yunhai Xiao, Hong Zhu, Soon-Yi Wu (2013)
Primal and dual alternating direction algorithms for ℓ1-ℓ1-norm minimization problems in compressive sensingComputational Optimization and Applications, 54
E. Candès, Y. Eldar, Deanna Needell (2010)
Compressed Sensing with Coherent and Redundant DictionariesArXiv, abs/1005.2613
Hui Yan, Jian Yang (2015)
Sparse discriminative feature selectionPattern Recognit., 48
M. Majidi, A. Arabali, M. Etezadi-Amoli (2015)
Fault Location in Distribution Networks by Compressive SensingIEEE Transactions on Power Delivery, 30
W. Yin, S. Osher, D. Goldfarb, J. Darbon (2008)
Bregman Iterative Algorithms for \ell1-Minimization with Applications to Compressed SensingSIAM J. Imaging Sci., 1
F. Costa, H. Batatia, Lotfi Chaari, J. Tourneret (2015)
Sparse EEG Source Localization Using Bernoulli Laplacian PriorsIEEE Transactions on Biomedical Engineering, 62
(2015)
A (2015c) Sparse Bayesian classification of EEG for brain-computer interface. In: IEEE transactions on neural networks and learning systems, pp
Kunpeng Wang, Y. Chai, Chunxiao Su (2013)
Sparsely corrupted stimulated scattering signals recovery by iterative reweighted continuous basis pursuit.The Review of scientific instruments, 84 8
R Baraniuk, EJ Candès, M Elad, Y Ma (2010)
Applications of sparse representation and compressive sensing [scanning the issue]Proc IEEE, 98
Vishal Patel, H. Nguyen, R. Vidal (2015)
Latent Space Sparse and Low-Rank Subspace ClusteringIEEE Journal of Selected Topics in Signal Processing, 9
Yuan Xie, Wensheng Zhang, Cuihua Li, Shuyang Lin, Yanyun Qu, Yinghua Zhang (2014)
Discriminative Object Tracking via Sparse Representation and Online Dictionary LearningIEEE Transactions on Cybernetics, 44
Yunpeng Liu, D. Tennant, Zexuan Zhu, J. Heath, X. Yao, Shan He (2014)
DiME: A Scalable Disease Module Identification Algorithm with Application to Glioma ProgressionPLoS ONE, 9
Zhihui Lai, W. Wong, Zhong Jin, Jian Yang, Yong Xu (2012)
Sparse Approximation to the Eigensubspace for DiscriminationIEEE Transactions on Neural Networks and Learning Systems, 23
Elaine Hale, W. Yin, Yin Zhang (2008)
Fixed-Point Continuation for l1-Minimization: Methodology and ConvergenceSIAM J. Optim., 19
Xixuan Han, L. Clemmensen (2016)
Regularized generalized eigen-decomposition with applications to sparse supervised feature extraction and sparse discriminant analysisPattern Recognit., 49
Zhihui Lai, W. Wong, Yong Xu, Jian Yang, D. Zhang (2016)
Approximate Orthogonal Sparse Embedding for Dimensionality ReductionIEEE Transactions on Neural Networks and Learning Systems, 27
Jun Zhang, Z. Gu, Z. Yu, Yuanqing Li (2015)
Energy-Efficient ECG Compression on Wireless Biosensors via Minimal Coherence Sensing and Weighted $\ell_1$ Minimization ReconstructionIEEE Journal of Biomedical and Health Informatics, 19
Mohammad Babakmehr, M. Simões, M. Wakin, A. Al‐Durra, F. Harirchi (2015)
Smart-Grid Topology Identification Using Sparse RecoveryIEEE Transactions on Industry Applications, 52
Yuanqing Li, Z. Yu, Ning Bi, Yong Xu, Z. Gu, S. Amari (2014)
Sparse Representation for Brain Signal Processing: A tutorial on methods and applicationsIEEE Signal Processing Magazine, 31
E. Candès, J. Romberg, T. Tao (2005)
Stable signal recovery from incomplete and inaccurate measurementsCommunications on Pure and Applied Mathematics, 59
D. Donoho (2006)
For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solutionCommunications on Pure and Applied Mathematics, 59
E. Candès, J. Romberg, T. Tao (2004)
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency informationIEEE Transactions on Information Theory, 52
B. He, Xiaoming Yuan (2012)
Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction PerspectiveSIAM J. Imaging Sci., 5
Tao Sun, Lizhi Cheng (2016)
Reweighted fast iterative shrinkage thresholding algorithm with restarts for l 1-l 1 minimisationIET Signal Process., 10
Zhihui Lai, W. Wong, Yong Xu, Cairong Zhao, Mingming Sun (2014)
Sparse Alignment for Robust Tensor LearningIEEE Transactions on Neural Networks and Learning Systems, 25
Mohammad Babakmehr, Marcelo Simoes, M. Wakin, F. Harirchi (2016)
Compressive Sensing-Based Topology Identification for Smart GridsIEEE Transactions on Industrial Informatics, 12
Jeevan Pant, S. Krishnan (2014)
Compressive Sensing of Electrocardiogram Signals by Promoting Sparsity on the Second-Order Difference and by Using Dictionary LearningIEEE Transactions on Biomedical Circuits and Systems, 8
Stephen Becker, M. Fadili (2012)
A quasi-Newton proximal splitting method
Y. Nesterov (2005)
Smooth minimization of non-smooth functionsMathematical Programming, 103
Jun Shi, Qikun Jiang, Qi Zhang, Qinghua Huang, Xuelong Li (2015)
Sparse kernel entropy component analysis for dimensionality reduction of biomedical dataNeurocomputing, 168
Hamdi Bouchech, S. Foufou, A. Koschan, M. Abidi (2015)
A kernelized sparsity-based approach for best spectral bands selection for face recognitionMultimedia Tools and Applications, 74
Bin Hu, Yongqiang Dai, Yun Su, P. Moore, Xiaowei Zhang, Chengsheng Mao, J. Chen, Lixin Xu (2018)
Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping AlgorithmIEEE/ACM Transactions on Computational Biology and Bioinformatics, 15
Guoxu Zhou, Qibin Zhao, Yu Zhang, T. Adalı, Shengli Xie, A. Cichocki (2015)
Linked Component Analysis From Matrices to High-Order Tensors: Applications to Biomedical DataProceedings of the IEEE, 104
L Chen, Y Gu (2015)
On the null space constant for $$\ell _p$$ ℓ p minimizationIEEE Signal Process Lett, 22
Md. Bhotto, M. Ahmad, M. Swamy (2015)
An Improved Fast Iterative Shrinkage Thresholding Algorithm for Image DeblurringSIAM J. Imaging Sci., 8
Zexuan Zhu, Yongpeng Zhang, Zhen Ji, Shan He, X. Yang (2015)
High-throughput DNA sequence data compressionBriefings in bioinformatics, 16 1
C He, C Hu, X Li, X Yang, W Zhang (2016)
A parallel alternating direction method with application to compound $$\ell _1$$ ℓ 1 -regularized imaging inverse problemsInf Sci, 348
Zhihui Lai, Yong Xu, Zhong Jin, Dafan Zhang (2014)
Human Gait Recognition via Sparse Discriminant Projection LearningIEEE Transactions on Circuits and Systems for Video Technology, 24
A. Beck, M. Teboulle (2009)
Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring ProblemsIEEE Transactions on Image Processing, 18
Laming Chen, Yuantao Gu (2015)
On the Null Space Constant for ${\ell _p}$ MinimizationIEEE Signal Processing Letters, 22
Shan He, Guanbo Jia, Zexuan Zhu, Dan Tennant, Qiang Huang, Ke Tang, Jing Liu, Mirco Musolesi, John Heath, Xin Yao (2016)
Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module DiscoveryIEEE Transactions on Evolutionary Computation, 20
Yi Xu, Licheng Yu, Hongteng Xu, H. Zhang, Truong Nguyen (2015)
Vector Sparse Representation of Color Image Using Quaternion Matrix AnalysisIEEE Transactions on Image Processing, 24
Hui Song, Wen Yang, Neng Zhong, Xin Xu (2016)
Unsupervised Classification of PolSAR Imagery via Kernel Sparse Subspace ClusteringIEEE Geoscience and Remote Sensing Letters, 13
Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, D. Zhang (2014)
Multilinear Sparse Principal Component AnalysisIEEE Transactions on Neural Networks and Learning Systems, 25
Cheng Zhang, Tao Zhang, Ming Li, Chengtao Peng, Zhaobang Liu, Jian Zheng (2016)
Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squaresBioMedical Engineering OnLine, 15
Xue Mei, Haibin Ling (2011)
Robust Visual Tracking and Vehicle Classification via Sparse RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 33
(2009)
Recovering Sparse Signals With a Certain Family of Nonconvex Penalties and DC Programming
M. Asif, J. Romberg (2013)
Sparse Recovery of Streaming Signals Using $\ell_1$-HomotopyIEEE Transactions on Signal Processing, 62
Zheng-Fen Jin, Z. Wan, Yuling Jiao, Xiliang Lu (2016)
An Alternating Direction Method with Continuation for Nonconvex Low Rank MinimizationJournal of Scientific Computing, 66
M. Majidi, M. Etezadi-Amoli, M. Fadali (2015)
A Novel Method for Single and Simultaneous Fault Location in Distribution NetworksIEEE Transactions on Power Systems, 30
P. Wolfe (1971)
Convergence Conditions for Ascent Methods. II: Some CorrectionsSiam Review, 13
Jun Xu, Kui Xu, Ke Chen, J. Ruan (2015)
Reweighted sparse subspace clusteringComput. Vis. Image Underst., 138
A. Liavas, N. Sidiropoulos (2014)
Parallel Algorithms for Constrained Tensor Factorization via Alternating Direction Method of MultipliersIEEE Transactions on Signal Processing, 63
Han Zhang, Xuefeng Chen, Zhaohui Du, Ruqiang Yan (2016)
Kurtosis based weighted sparse model with convex optimization technique for bearing fault diagnosisMechanical Systems and Signal Processing, 80
Amir Beck, M. Teboulle (2009)
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse ProblemsSIAM J. Imaging Sci., 2
Gaurav Goswami, Paritosh Mittal, A. Majumdar, Mayank Vatsa, Richa Singh (2016)
Group sparse representation based classification for multi-feature multimodal biometricsInf. Fusion, 32
X. Qu, Yingkun Hou, F. Lam, D. Guo, J. Zhong, Zhong Chen (2014)
Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operatorMedical image analysis, 18 6
S. Gutta, Qi Cheng (2016)
Joint Feature Extraction and Classifier Design for ECG-Based Biometric RecognitionIEEE Journal of Biomedical and Health Informatics, 20
Hong Zhu, Yunhai Xiao, Soon-Yi Wu (2013)
Large sparse signal recovery by conjugate gradient algorithm based on smoothing techniqueComput. Math. Appl., 66
A. Gilbert, P. Indyk (2010)
Sparse Recovery Using Sparse MatricesProceedings of the IEEE, 98
Hongyan Zhang, Han Zhai, Liangpei Zhang, Pingxiang Li (2016)
Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing ImagesIEEE Transactions on Geoscience and Remote Sensing, 54
Jingyu Yang, Ziqiao Gan, Zhaoyang Wu, Chunping Hou (2015)
Estimation of Signal-Dependent Noise Level Function in Transform Domain via a Sparse Recovery ModelIEEE Transactions on Image Processing, 24
W Yin, S Osher, D Goldfarb, J Darbon (2008)
Bregman iterative algorithms for $$\ell _1$$ ℓ 1 -minimization with applications to compressed sensingSIAM J Imaging Sci, 1
Stephen Wright, R. Nowak, Mário Figueiredo (2008)
Sparse Reconstruction by Separable ApproximationIEEE Transactions on Signal Processing, 57
J Yang, Y Zhang (2011)
Alternating direction algorithms for $$\ell _1$$ ℓ 1 -problems in compressive sensingSIAM J Sci Comput, 33
Seung-Jean Kim, Kwangmoo Koh, M. Lustig, Stephen Boyd, D. Gorinevsky (2007)
An Interior-Point Method for Large-Scale $\ell_1$-Regularized Least SquaresIEEE Journal of Selected Topics in Signal Processing, 1
Y Zhu, J Wu, G Yu (2015)
A fast proximal point algorithm for $$\ell _1$$ ℓ 1 -minimization problem in compressed sensingAppl Math Comput, 270
Mário Figueiredo, R. Nowak, S. Wright (2007)
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse ProblemsIEEE Journal of Selected Topics in Signal Processing, 1
J. Bioucas-Dias, Mário Figueiredo (2007)
A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image RestorationIEEE Transactions on Image Processing, 16
D. Strohmeier, Y. Bekhti, J. Haueisen, Alexandre Gramfort (2016)
The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source ReconstructionIEEE Transactions on Medical Imaging, 35
Di Zhang, Jiazhong He, Yun Zhao, Minghui Du (2015)
MR image super-resolution reconstruction using sparse representation, nonlocal similarity and sparse derivative priorComputers in biology and medicine, 58
Giulia Poian, R. Bernardini, R. Rinaldo (2016)
Separation and Analysis of Fetal-ECG Signals From Compressed Sensed Abdominal ECG RecordingsIEEE Transactions on Biomedical Engineering, 63
L. Nguyen, T. Tran, Thong Do (2014)
Sparse models and sparse recovery for ultra-wideband SAR applicationsIEEE Transactions on Aerospace and Electronic Systems, 50
Zhao Tan, Yonina Eldar, A. Beck, A. Nehorai (2013)
Smoothing and Decomposition for Analysis Sparse RecoveryIEEE Transactions on Signal Processing, 62
P. Wolfe (1969)
Convergence Conditions for Ascent Methods. IISiam Review, 11
MS Asif, J Romberg (2013)
Fast and accurate algorithms for re-weighted $$\ell _1$$ ℓ 1 -norm minimizationIEEE Trans Signal Process, 61
M. Asif, J. Romberg (2012)
Fast and Accurate Algorithms for Re-Weighted $\ell _{1}$-Norm MinimizationIEEE Transactions on Signal Processing, 61
Yunying Zhu, Jian Wu, Gaohang Yu (2015)
A fast proximal point algorithm for ℓ1-minimization problem in compressed sensingAppl. Math. Comput., 270
Zhihui Lai, Yajing Li, M. Wan, Zhong Jin (2013)
Local sparse representation projections for face recognitionNeural Computing and Applications, 23
E. Birgin, J. Martínez, M. Raydan (1999)
Nonmonotone Spectral Projected Gradient Methods on Convex SetsSIAM J. Optim., 10
Mashud Hyder, K. Mahata (2016)
A Sparse Recovery Method for Initial Uplink Synchronization in OFDMA SystemsIEEE Transactions on Communications, 64
Hongjin He, Xingju Cai, Deren Han (2015)
A class of nonlinear proximal point algorithms for variational inequality problemsInternational Journal of Computer Mathematics, 92
MS Asif, J Romberg (2014)
Sparse recovery of streaming signals using $$\ell _1$$ ℓ 1 -homotopyIEEE Trans Signal Process, 62
Y Xiao, H Zhu, SY Wu (2013)
Primal and dual alternating direction algorithms for $$\ell _1$$ ℓ 1 - $$\ell _1$$ ℓ 1 -norm minimization problems in compressive sensingComput Optim Appl, 54
Zhihui Lai, Yong Xu, Jian Yang, Jinhui Tang, D. Zhang (2013)
Sparse tensor discriminant analysisIEEE Transactions on Image Processing, 22
Stephen Becker, E. Candès, Michael Grant (2010)
Templates for convex cone problems with applications to sparse signal recoveryMathematical Programming Computation, 3
Xu Jia, Huchuan Lu, Ming-Hsuan Yang (2016)
Visual Tracking via Coarse and Fine Structural Local Sparse Appearance ModelsIEEE Transactions on Image Processing, 25
Qiaofeng Xu, Deshan Yang, Jun Tan, Alex Sawatzky, M. Anastasio (2016)
Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction.Medical physics, 43 4
Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu (2016)
Corrupted and occluded face recognition via cooperative sparse representationPattern Recognit., 56
Heng Kong, Zhihui Lai, Xu Wang, Feng Liu (2016)
Breast cancer discriminant feature analysis for diagnosis via jointly sparse learningNeurocomputing, 177
L. Stanković, M. Daković, Stefan Vujović (2013)
Adaptive Variable Step Algorithm for Missing Samples Recovery in Sparse SignalsArXiv, abs/1309.5749
Jian Wu, Gaohang Yu (2014)
On the Convergence and O(1/N) Complexity of a Class of Nonlinear Proximal Point Algorithms for Monotonic Variational InequalitiesStatistics, Optimization and Information Computing, 2
Darren Craven, Brian McGinley, L. Kilmartin, M. Glavin, E. Jones (2015)
Compressed Sensing for Bioelectric Signals: A ReviewIEEE Journal of Biomedical and Health Informatics, 19
Richard Baraniuk, E. Candès, Michael Elad, Yi Ma (2010)
Applications of Sparse Representation and Compressive SensingProc. IEEE, 98
D. Zonoobi, A. Kassim (2014)
A computationally efficient method for reconstructing sequences of MR images from undersampled k-space dataMedical image analysis, 18 6
A. Beck, M. Teboulle (2012)
Smoothing and First Order Methods: A Unified FrameworkSIAM J. Optim., 22
Patrick Kuppinger, G. Durisi, H. Bölcskei (2011)
Uncertainty Relations and Sparse Signal Recovery for Pairs of General Signal SetsIEEE Transactions on Information Theory, 58
Chuan He, C. Hu, Xuelong Li, Xiaogang Yang, Wei Zhang (2016)
A parallel alternating direction method with application to compound l1-regularized imaging inverse problemsInf. Sci., 348
Ehsan Elhamifar, R. Vidal (2012)
Sparse Subspace Clustering: Algorithm, Theory, and ApplicationsIEEE transactions on pattern analysis and machine intelligence
DL Donoho (2006)
For most large underdetermined systems of linear equations the minimal $$\ell _1$$ ℓ 1 -norm solution is also the sparsest solutionCommun Pure Appl Math, 59
Stephen Becker, J. Bobin, E. Candès (2009)
NESTA: A Fast and Accurate First-Order Method for Sparse RecoverySIAM J. Imaging Sci., 4
N. Andrei (2006)
An acceleration of gradient descent algorithm with backtracking for unconstrained optimizationNumerical Algorithms, 42
Xinting Lu, Liguo Han, Jianglong Yu, Xue Chen (2015)
L1 norm constrained migration of blended data with the FISTA algorithmJournal of Geophysics and Engineering, 12
Siam Rfview (2016)
CONVERGENCE CONDITIONS FOR ASCENT METHODS
Haixian Wang, Xiaomeng Li (2016)
Regularized Filters for L1-Norm-Based Common Spatial PatternsIEEE Transactions on Neural Systems and Rehabilitation Engineering, 24
Shan He, Huanhuan Chen, Zexuan Zhu, Douglas Ward, Helen Cooper, M. Viant, John Heath, Xin Yao (2015)
Robust twin boosting for feature selection from high-dimensional omics data with label noiseInf. Sci., 291
I. Daubechies, M. Defrise, C. Mol (2003)
An iterative thresholding algorithm for linear inverse problems with a sparsity constraintCommunications on Pure and Applied Mathematics, 57
Han Pan, Zhongliang Jing, Ming Lei, Rongli Liu, Bo Jin, Canlong Zhang (2013)
A sparse proximal Newton splitting method for constrained image deblurringNeurocomputing, 122
Y. Liu, M. Vos, S. Huffel (2015)
Compressed Sensing of Multichannel EEG Signals: The Simultaneous Cosparsity and Low-Rank OptimizationIEEE Transactions on Biomedical Engineering, 62
M. Rosa, L. Portugal, J. Shawe-Taylor, J. Miranda (2013)
Sparse network-based models for patient classification using fMRINeuroimage, 105
P. Olsen, Figen Öztoprak, J. Nocedal, Steven Rennie (2012)
Newton-Like Methods for Sparse Inverse Covariance Estimation
M. Vrahatisa, G. Androulakisa, J. Lambrinosa, G. Magoulasb (1999)
A class of gradient unconstrained minimization algorithms with adaptive stepsize
Cuiming Zou, K. Kou, Yulong Wang (2016)
Quaternion Collaborative and Sparse Representation With Application to Color Face RecognitionIEEE Transactions on Image Processing, 25
Li Zhang, Weida Zhou, Guirong Chen, Ya-Ping Lu, Fanzhang Li (2013)
Sparse signal reconstruction using decomposition algorithmKnowl. Based Syst., 54
Michael Elad (2006)
Why Simple Shrinkage Is Still Relevant for Redundant Representations?IEEE Transactions on Information Theory, 52
L. Armijo (1966)
Minimization of functions having Lipschitz continuous first partial derivatives.Pacific Journal of Mathematics, 16
Wei He, Hongyan Zhang, Liangpei Zhang, W. Philips, Wenzi Liao (2016)
Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral ImagesIEEE Geoscience and Remote Sensing Letters, 13
Hongyu Yang, Di Huang, Yunhong Wang, Heng Wang, Yuanyan Tang (2015)
Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse RepresentationIEEE Transactions on Image Processing, 25
SJ Kim, K Koh, M Lustig, S Boyd, D Gorinevsky (2007)
An interior-point method for large-scale $$\ell _1$$ ℓ 1 -regularized least squaresIEEE J Sel Topics Signal Process, 1
T Sun, L Cheng (2016)
Reweighted fast iterative shrinkage thresholding algorithm with restarts for $$\ell _1$$ ℓ 1 - $$\ell _1$$ ℓ 1 minimisationIET Signal Process, 10
Junfeng Yang, Yin Zhang (2009)
Alternating Direction Algorithms for 1-Problems in Compressive SensingSIAM J. Sci. Comput., 33
Jiulou Zhang, Junwei Shi, Huizhi Guang, Simin Zuo, Fei Liu, J. Bai, Jianwen Luo (2016)
Iterative Correction Scheme Based on Discrete Cosine Transform and L1 Regularization for Fluorescence Molecular Tomography With Background FluorescenceIEEE Transactions on Biomedical Engineering, 63
M. Çetin, I. Stojanovic, Ö. Önhon, Kush Varshney, S. Samadi, W. Karl, A. Willsky (2014)
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensingIEEE Signal Processing Magazine, 31
J Zhang, Z Gu, ZL Yu, Y Li (2015)
Energy-efficient ECG compression on wireless biosensors via minimal coherence sensing and weighted $$ell_1$$ e l l 1 minimization reconstructionIEEE J Biomed Health Inf, 19
$$\ell _1$$ ℓ 1 -regularization-based sparse recovery has received a considerable attention over the last decade. In this paper, a solver called SQNSR is proposed to recover signals with high dynamic range. SQNSR utilizes linear search strategy and quasi-Newton step to the solve composite objective function for the sparse recovery problem. Since $$\ell _1$$ ℓ 1 -norm-regularized item is nonsmooth, smoothing technique is introduced to obtain an approximate smoothed function. The sufficient and necessary condition is also derived for the feasible smoothed objective function. By limiting the step length in each iteration, the convergence of SQNSR is guaranteed to obtain the sparsest solution. Numerical simulations are implemented to test the performance of the proposed approach and verify the theoretical analysis.
Soft Computing – Springer Journals
Published: Nov 9, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.