Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing
暂无分享,去创建一个
[1] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[2] Robert D. Nowak,et al. Sequentially designed compressed sensing , 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).
[3] Richard G. Baraniuk,et al. The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range , 2011, IEEE Transactions on Signal Processing.
[4] Deanna Needell,et al. Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit , 2007, IEEE Journal of Selected Topics in Signal Processing.
[5] Stephen P. Boyd,et al. Enhancing Sparsity by Reweighted ℓ1 Minimization , 2007, 0711.1612.
[6] Holger Rauhut,et al. Compressive Sensing with structured random matrices , 2012 .
[7] J. Tropp,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, Commun. ACM.
[8] Deanna Needell,et al. Noisy signal recovery via iterative reweighted L1-minimization , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.
[9] Robert D. Nowak,et al. Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation , 2010, IEEE Transactions on Information Theory.
[10] Weiyu Xu,et al. Improved sparse recovery thresholds with two-step reweighted ℓ1 minimization , 2010, 2010 IEEE International Symposium on Information Theory.
[11] Otmar Scherzer,et al. Handbook of Mathematical Methods in Imaging , 2015, Handbook of Mathematical Methods in Imaging.
[12] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[13] H. Rauhut. Compressive Sensing and Structured Random Matrices , 2009 .
[14] Stephen J. Wright,et al. Numerical Optimization (Springer Series in Operations Research and Financial Engineering) , 2000 .
[15] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[16] Massimo Fornasier,et al. Compressive Sensing , 2015, Handbook of Mathematical Methods in Imaging.
[17] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[18] Robert D. Nowak,et al. Compressive distilled sensing: Sparse recovery using adaptivity in compressive measurements , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.
[19] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[20] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[21] Rachel Ward,et al. On the Complexity of Mumford–Shah-Type Regularization, Viewed as a Relaxed Sparsity Constraint , 2010, IEEE Transactions on Image Processing.
[22] Massimo Fornasier,et al. Compressive Sensing and Structured Random Matrices , 2010 .
[23] Holger Rauhut,et al. A Mathematical Introduction to Compressive Sensing , 2013, Applied and Numerical Harmonic Analysis.
[24] R. DeVore,et al. A Simple Proof of the Restricted Isometry Property for Random Matrices , 2008 .
[25] Richard G. Baraniuk,et al. The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range , 2011, ArXiv.
[26] Richard Baraniuk,et al. APPLICATION OF COMPRESSIVE SENSING TO THE DESIGN OF WIDEBAND SIGNAL ACQUISITION RECEIVERS , 2009 .
[27] Stephen P. Boyd,et al. Graph Implementations for Nonsmooth Convex Programs , 2008, Recent Advances in Learning and Control.
[28] Massimo Fornasier,et al. Linearly Constrained Nonsmooth and Nonconvex Minimization , 2012, SIAM J. Optim..
[29] Holger Rauhut,et al. Remote Sensing via ℓ1-Minimization , 2012, Found. Comput. Math..
[30] Hans Kjeldsen,et al. Solar-like Oscillations , 2003, Publications of the Astronomical Society of Australia.
[31] P. Wojtaszczyk,et al. Stability and Instance Optimality for Gaussian Measurements in Compressed Sensing , 2010, Found. Comput. Math..
[32] Gerhard Fettweis,et al. Analyzing the signal-to-noise ratio of direct sampling receivers , 2013, 2013 IEEE International Conference on Communications (ICC).
[33] Massimo Fornasier,et al. Theoretical Foundations and Numerical Methods for Sparse Recovery , 2010, Radon Series on Computational and Applied Mathematics.
[34] T. Blumensath,et al. Iterative Thresholding for Sparse Approximations , 2008 .
[35] R. DeVore,et al. Compressed sensing and best k-term approximation , 2008 .
[36] Massimo Fornasier,et al. Iterative Thresholding Meets Free-Discontinuity Problems , 2009, Found. Comput. Math..
[37] Deanna Needell,et al. Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit , 2007, Found. Comput. Math..
[38] Weiyu Xu,et al. Compressed sensing of approximately sparse signals , 2008, 2008 IEEE International Symposium on Information Theory.
[39] Magali Deleuil,et al. Non-radial oscillation modes with long lifetimes in giant stars , 2009, Nature.
[40] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[41] Yonina C. Eldar,et al. Noise Folding in Compressed Sensing , 2011, IEEE Signal Processing Letters.
[42] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .
[43] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[44] 慧 廣瀬. A Mathematical Introduction to Compressive Sensing , 2015 .