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 2016-09, Vol.62 (9), p.5117-5144
Hauptverfasser:	Metzler, Christopher A., Maleki, Arian, Baraniuk, Richard G.
Format:	Artikel
Sprache:	eng
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
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