Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing
作者： Lihan He , L. Carin
关键词: Artificial intelligence 、 Wavelet 、 Stationary wavelet transform 、 Wavelet packet decomposition 、 Mathematics 、 Bayesian probability 、 Cascade algorithm 、 Markov chain Monte Carlo 、 Wavelet transform 、 Bayesian inference 、 Pattern recognition
摘要: … in digital media. One observes, however, that after the digital data are measured and then transform compressed, … Therefore, prior knowledge about images and the CS sensing process …
harvard.edu
acm.org
sci-hub.se 参考文章(47)
Yonina C. Eldar, Moshe Mishali, Robust Recovery of Signals From a Union of Subspaces ,(2008)
Stphane Mallat, A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way Academic Press. ,(2008)
Justin Romberg, Practical Signal Recovery from Random Projections ,(2005)
George Casella, Christian P. Robert, Monte Carlo Statistical Methods (Springer Texts in Statistics) Springer-Verlag New York, Inc.. ,(2005)
Gabriel Peyré, Best Basis Compressed Sensing Lecture Notes in Computer Science. pp. 80- 91 ,(2007) , 10.1007/978-3-540-72823-8_8
Michael E Tipping, Sparse bayesian learning and the relevance vector machine Journal of Machine Learning Research. ,vol. 1, pp. 211- 244 ,(2001) , 10.1162/15324430152748236
Hemant Ishwaran, J. Sunil Rao, Spike and slab variable selection: Frequentist and Bayesian strategies Annals of Statistics. ,vol. 33, pp. 730- 773 ,(2005) , 10.1214/009053604000001147
David L. Donoho, Yaakov Tsaig, Extensions of compressed sensing ,(2004)
Scott Shaobing Chen, David L. Donoho, Michael A. Saunders, Atomic Decomposition by Basis Pursuit SIAM Journal on Scientific Computing. ,vol. 20, pp. 33- 61 ,(1998) , 10.1137/S1064827596304010
Ali Hormati, Martin Vetterli, Annihilating filter-based decoding in the compressed sensing framework Proceedings of SPIE. ,vol. 6701, pp. 670121- ,(2007) , 10.1117/12.732308