Regime Change: Bit-Depth Versus Measurement-Rate in Compressive Sensing
暂无分享,去创建一个
[1] E.J. Candes. Compressive Sampling , 2022 .
[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] Stephen J. Wright,et al. Toeplitz-Structured Compressed Sensing Matrices , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.
[4] Yaniv Plan,et al. One‐Bit Compressed Sensing by Linear Programming , 2011, ArXiv.
[5] Andrea Montanari,et al. Message-passing algorithms for compressed sensing , 2009, Proceedings of the National Academy of Sciences.
[6] Ting Sun,et al. Single-pixel imaging via compressive sampling , 2008, IEEE Signal Process. Mag..
[7] Marco F. Duarte,et al. Compressive sensing recovery of spike trains using a structured sparsity model , 2009 .
[8] Laurent Jacques,et al. Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine , 2009, IEEE Transactions on Information Theory.
[9] Vivek K. Goyal,et al. Quantized Overcomplete Expansions in IRN: Analysis, Synthesis, and Algorithms , 1998, IEEE Trans. Inf. Theory.
[10] Mike E. Davies,et al. Sample-distortion functions for compressed sensing , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[11] Brian M. Sadler,et al. Monobit digital receivers for ultrawideband communications , 2005, IEEE Transactions on Wireless Communications.
[12] Emmanuel J. Candès,et al. How well can we estimate a sparse vector? , 2011, ArXiv.
[13] Justin K. Romberg,et al. Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals , 2009, IEEE Transactions on Information Theory.
[14] D. L. Donoho,et al. Rapid MR Imaging with "Compressed Sensing" and Randomly Under-Sampled 3DFT Trajectories , 2004 .
[15] David L. Neuhoff,et al. Quantization , 2022, IEEE Trans. Inf. Theory.
[16] A. Oppenheim,et al. Quantization and erasures in frame representations , 2006 .
[17] Gabor C. Temes,et al. Oversampling delta-sigma data converters : theory, design, and simulation , 1992 .
[18] Rayan Saab,et al. Sobolev Duals for Random Frames and Sigma-Delta Quantization of Compressed Sensing Measurements , 2010, ArXiv.
[19] Richard G. Baraniuk,et al. Democracy in Action: Quantization, Saturation, and Compressive Sensing , 2011 .
[20] Rayan Saab,et al. Sigma delta quantization for compressed sensing , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).
[21] Wotao Yin,et al. TR 0707 A Fixed-Point Continuation Method for ` 1-Regularized Minimization with Applications to Compressed Sensing , 2007 .
[22] Ingrid Daubechies,et al. Single-Bit Oversampled A/D Conversion With Exponential Accuracy in the Bit Rate , 2007, IEEE Transactions on Information Theory.
[23] Wotao Yin,et al. Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements , 2011, IEEE Transactions on Signal Processing.
[24] Richard G. Baraniuk,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[25] Vivek K Goyal. Quantized Overcomplete Expansions : Analysis , Synthesis and Algorithms , 1995 .
[26] John J. Benedetto,et al. Sigma-delta quantization and finite frames , 2004, ICASSP.
[27] Laurent Jacques,et al. Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors , 2011, IEEE Transactions on Information Theory.
[28] H. V. Sorensen,et al. An overview of sigma-delta converters , 1996, IEEE Signal Process. Mag..
[29] J. Tropp,et al. SIGNAL RECOVERY FROM PARTIAL INFORMATION VIA ORTHOGONAL MATCHING PURSUIT , 2005 .
[30] John J. Benedetto,et al. Sigma-delta (/spl Sigma//spl Delta/) quantization and finite frames , 2006, IEEE Trans. Inf. Theory.
[31] Vivek K. Goyal,et al. Frame permutation quantization , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).
[32] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[33] Michael P. Friedlander,et al. Probing the Pareto Frontier for Basis Pursuit Solutions , 2008, SIAM J. Sci. Comput..
[34] 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).
[35] Wotao Yin,et al. Bregman Iterative Algorithms for (cid:2) 1 -Minimization with Applications to Compressed Sensing ∗ , 2008 .
[36] R. Feynman. There’s plenty of room at the bottom , 2011 .
[37] Richard G. Baraniuk,et al. 1-Bit compressive sensing , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.
[38] C.W. Bostian,et al. Analog-to-digital converters , 2005, IEEE Signal Processing Magazine.
[39] Vivek K. Goyal,et al. Optimal quantization of random measurements in compressed sensing , 2009, 2009 IEEE International Symposium on Information Theory.
[40] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[41] Stephen P. Boyd,et al. Compressed Sensing With Quantized Measurements , 2010, IEEE Signal Processing Letters.
[42] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[43] P. Boufounos. Greedy sparse signal reconstruction from sign measurements , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.
[44] Richard Baraniuk,et al. APPLICATION OF COMPRESSIVE SENSING TO THE DESIGN OF WIDEBAND SIGNAL ACQUISITION RECEIVERS , 2009 .
[45] Vivek K Goyal,et al. Quantization for Compressed Sensing Reconstruction , 2009 .
[46] Mário A. T. Figueiredo,et al. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.
[47] Petros Boufounos,et al. Universal Rate-Efficient Scalar Quantization , 2010, IEEE Transactions on Information Theory.
[48] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[49] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[50] Volkan Cevher,et al. Model-Based Compressive Sensing , 2008, IEEE Transactions on Information Theory.
[51] Linhui Liu,et al. A methodology for the simulation of digital-to-analog converters (Withdrawal Notice) , 2009, International Conference on Photonics and Image in Agriculture Engineering.
[52] Mike E. Davies,et al. Iterative Hard Thresholding for Compressed Sensing , 2008, ArXiv.
[53] Marco F. Duarte,et al. Spectral compressive sensing , 2013 .