暂无分享,去创建一个
[1] S. Izu,et al. Time-Frequency Localization and Sampling of Multiband Signals , 2009 .
[2] 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.
[3] Volkan Cevher,et al. An ALPS view of sparse recovery , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] D. Thomson,et al. Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.
[5] Per Christian Hansen,et al. Regularization Tools version 4.0 for Matlab 7.3 , 2007, Numerical Algorithms.
[6] Mike E. Davies,et al. Iterative Hard Thresholding for Compressed Sensing , 2008, ArXiv.
[7] Yonina C. Eldar,et al. Robust Recovery of Signals From a Structured Union of Subspaces , 2008, IEEE Transactions on Information Theory.
[8] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[9] John S. Thompson,et al. Reconciling Compressive Sampling Systems for Spectrally Sparse Continuous-Time Signals , 2011, IEEE Transactions on Signal Processing.
[10] Marco F. Duarte,et al. Spectral compressive sensing , 2013 .
[11] M. A. Davenport,et al. A wideband compressive radio receiver , 2010, 2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE.
[12] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[13] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[14] Mingui Sun,et al. Compressive sensing and random filtering of EEG signals using Slepian basis , 2008, 2008 16th European Signal Processing Conference.
[15] Richard G. Baraniuk,et al. Signal Processing With Compressive Measurements , 2010, IEEE Journal of Selected Topics in Signal Processing.
[16] I. Daubechies,et al. Approximating a bandlimited function using very coarsely quantized data: A family of stable sigma-delta modulators of arbitrary order , 2003 .
[17] Stephen J. Wright,et al. Toeplitz-Structured Compressed Sensing Matrices , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.
[18] Justin K. Romberg,et al. Compressive Sensing by Random Convolution , 2009, SIAM J. Imaging Sci..
[19] Robert H. Walden,et al. Analog-to-digital converter survey and analysis , 1999, IEEE J. Sel. Areas Commun..
[20] Minh N. Do,et al. A Theory for Sampling Signals from a Union of Subspaces , 2022 .
[21] Roman Vershynin,et al. Introduction to the non-asymptotic analysis of random matrices , 2010, Compressed Sensing.
[22] Yonina C. Eldar,et al. Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals , 2007, IEEE Transactions on Signal Processing.
[23] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[24] D. Slepian. Prolate spheroidal wave functions, fourier analysis, and uncertainty — V: the discrete case , 1978, The Bell System Technical Journal.
[25] Yonina C. Eldar,et al. Compressed Sensing with Coherent and Redundant Dictionaries , 2010, ArXiv.
[26] R. DeVore,et al. Instance optimal decoding by thresholding in compressed sensing , 2008 .
[27] Avideh Zakhor,et al. Theoretical and numerical aspects of an SVD-based method for band-limiting finite-extent sequences , 1994, IEEE Trans. Signal Process..
[28] Seda Senay,et al. Signal Reconstruction from Nonuniformly Spaced Samples Using Evolutionary Slepian Transform-Based POCS , 2010, EURASIP J. Adv. Signal Process..
[29] Henry Stark,et al. Probability, Random Processes, and Estimation Theory for Engineers , 1995 .
[30] H. Landau. Necessary density conditions for sampling and interpolation of certain entire functions , 1967 .
[31] 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.
[32] D. Slepian,et al. On bandwidth , 1976, Proceedings of the IEEE.
[33] Richard G. Baraniuk,et al. The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range , 2011, ArXiv.
[34] D. Slepian. Prolate spheroidal wave functions, Fourier analysis and uncertainty — IV: Extensions to many dimensions; generalized prolate spheroidal functions , 1964 .
[35] Mike E. Davies,et al. Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces , 2009, IEEE Transactions on Information Theory.
[36] R. DeVore,et al. Instance-optimality in probability with an ℓ1-minimization decoder , 2009 .
[37] A Tikhonov,et al. Solution of Incorrectly Formulated Problems and the Regularization Method , 1963 .
[38] Yoram Bresler,et al. Further results on spectrum blind sampling of 2D signals , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[39] Richard G. Baraniuk,et al. The compressive multiplexer for multi-channel compressive sensing , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[40] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[41] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[42] E.J. Candes. Compressive Sampling , 2022 .
[43] Deanna Needell,et al. Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit , 2007, Found. Comput. Math..
[44] D. Slepian,et al. Prolate spheroidal wave functions, fourier analysis and uncertainty — II , 1961 .
[45] R. DeVore,et al. A Simple Proof of the Restricted Isometry Property for Random Matrices , 2008 .
[46] Zhifeng Zhang,et al. Adaptive time-frequency decompositions , 1994 .
[47] Justin K. Romberg,et al. Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.
[48] Y. C. Pati,et al. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
[49] Dale H. Mugler,et al. LINEAR PREDICTION OF BANDPASS SIGNALS BASED ON PAST SAMPLES , 1999 .
[50] Volkan Cevher,et al. Model-Based Compressive Sensing , 2008, IEEE Transactions on Information Theory.
[51] H. Pollak,et al. Prolate spheroidal wave functions, fourier analysis and uncertainty — III: The dimension of the space of essentially time- and band-limited signals , 1962 .
[52] David L. Phillips,et al. A Technique for the Numerical Solution of Certain Integral Equations of the First Kind , 1962, JACM.
[53] Richard G. Baraniuk,et al. Compressive Sensing , 2008, Computer Vision, A Reference Guide.
[54] Luis F. Chaparro,et al. Reconstruction of nonuniformly sampled time-limited signals using prolate spheroidal wave functions , 2009, Signal Process..
[55] Jean-Luc Starck,et al. Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit , 2012, IEEE Transactions on Information Theory.
[56] Louis L. Scharf,et al. The SVD and reduced rank signal processing , 1991, Signal Process..
[57] David L. Donoho,et al. Sparse Solution Of Underdetermined Linear Equations By Stagewise Orthogonal Matching Pursuit , 2006 .
[58] Olgica Milenkovic,et al. Subspace Pursuit for Compressive Sensing Signal Reconstruction , 2008, IEEE Transactions on Information Theory.
[59] Laurent Gosse,et al. Compressed sensing with preconditioning for sparse recovery with subsampled matrices of Slepian prolate functions , 2013 .
[60] Yonina C. Eldar,et al. From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.
[61] Emmanuel J. Candès,et al. How well can we estimate a sparse vector? , 2011, ArXiv.
[62] Richard Baraniuk,et al. Compressive Domain Interference Cancellation , 2009 .
[63] Y. Bresler,et al. Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[64] Richard G. Baraniuk,et al. Random Filters for Compressive Sampling and Reconstruction , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[65] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[66] Yonina C. Eldar,et al. Block-Sparse Signals: Uncertainty Relations and Efficient Recovery , 2009, IEEE Transactions on Signal Processing.
[67] Michael B. Wakin,et al. Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property , 2009, IEEE Transactions on Information Theory.
[68] Kareem E. Baddour,et al. Channel estimation using DPSS based frames , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[69] Richard G. Lyons,et al. Understanding Digital Signal Processing , 1996 .
[70] D. Slepian. Some comments on Fourier analysis, uncertainty and modeling , 1983 .
[71] José Carlos Príncipe,et al. On the relationship between the Karhunen-Loeve transform and the prolate spheroidal wave functions , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[72] V. Buldygin,et al. Metric characterization of random variables and random processes , 2000 .
[73] Ping Feng,et al. Spectrum-blind minimum-rate sampling and reconstruction of multiband signals , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[74] Thomas Blumensath,et al. Sampling and Reconstructing Signals From a Union of Linear Subspaces , 2009, IEEE Transactions on Information Theory.