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Reference: Jeffrey D. Blanchard, Jared Tanner and Ke Wei, (2014). Conjugate Gradient Iterative Hard Thresholding:Observed Noise Stability for Compressed Sensing. IEEE International Symposium on Information Theory.Citable link to this page:

 

Conjugate Gradient Iterative Hard Thresholding:Observed Noise Stability for Compressed Sensing

Abstract: Conjugate Gradient Iterative Hard Thresholding (CGIHT) for compressed sensing combines the low per iteration complexity of fast greedy sparse approximation algorithms with the improved convergence rates of more complicated, projection based algorithms. This article shows that CGIHT is robust toadditive noise and is typically the fastest greedy algorithm in the presence of noise.

Bibliographic Details

Issue Date: 2014Identifiers

Urn: uuid:21ce4fbf-cbbb-45b4-8b50-49f5999914ed Item Description

Type: Technical Report;

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Author: Jeffrey D. Blanchard - - - Jared Tanner - - - Ke Wei - - - - Bibliographic Details Issue Date: 2014 - Identifiers Urn: uuid:21ce4

Source: https://ora.ox.ac.uk/objects/uuid:21ce4fbf-cbbb-45b4-8b50-49f5999914ed



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