Iterative hard thresholding for compressed sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present a theoretical analysis of the iterative hard thresholding algorithm when applied to the compressed sensing recovery probl...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2009-11.
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Subjects: | |
Online Access: | Get fulltext |