Quantization for Compressed Sensing Reconstruction
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[1] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[2] David L. Neuhoff,et al. Quantization , 2022, IEEE Trans. Inf. Theory.
[3] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[4] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[5] Dmitry M. Malioutov,et al. Homotopy continuation for sparse signal representation , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[6] Ruby J Pai. Nonadaptive lossy encoding of sparse signals , 2006 .
[7] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[8] Martin J. Wainwright,et al. Sharp thresholds for high-dimensional and noisy recovery of sparsity , 2006, ArXiv.
[9] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[10] V.K. Goyal,et al. Compressive Sampling and Lossy Compression , 2008, IEEE Signal Processing Magazine.
[11] Vivek K. Goyal,et al. Distributed Functional Scalar Quantization: High-Resolution Analysis and Extensions , 2008, ArXiv.
[12] Olgica Milenkovic,et al. Quantized Compressive Sensing , 2009, 0901.0749.
[13] Laurent Jacques,et al. DeQuantizing Compressed Sensing with non-Gaussian constraints , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).