Near Optimal Compressed Sensing Without Priors: Parametric SURE Approximate Message Passing

Both theoretical analysis and empirical evidence confirm that the approximate message passing (AMP) algorithm can be interpreted as recursively solving a signal denoising problem: at each AMP iteration, one observes a Gaussian noise perturbed original signal. Retrieving the signal amounts to a succe...

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Bibliographic Details

Published in:	IEEE transactions on signal processing Vol. 63; no. 8; pp. 2130 - 2141
Main Authors:	Chunli Guo, Davies, Mike E.
Format:	Journal Article
Language:	English
Published:	IEEE 15.04.2015
Subjects:	Algorithm design and analysis Approximate message passing algorithm compressed sensing Estimation Kernel Noise Noise measurement Noise reduction parametric estimator signal denoising Signal processing algorithms Stein's unbiased risk estimate
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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