From Denoising to Compressed Sensing

A denoising algorithm seeks to remove noise, errors, or perturbations from a signal. Extensive research has been devoted to this arena over the last several decades, and as a result, todays denoisers can effectively remove large amounts of additive white Gaussian noise. A compressed sensing (CS) rec...

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Veröffentlicht in:	IEEE transactions on information theory Jg. 62; H. 9; S. 5117 - 5144
Hauptverfasser:	Metzler, Christopher A., Maleki, Arian, Baraniuk, Richard G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms approximate message passing Approximation Approximation algorithms Compressed sensing denoiser Detection Electronics Error correction & detection Gaussian Iterative methods Message passing Noise Noise control Noise reduction Normal distribution Onsager correction Perturbation methods Reconstruction Reconstruction algorithms Signal processing Signal processing algorithms
ISSN:	0018-9448, 1557-9654
Online-Zugang:	Volltext
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