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...

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Bibliographic Details
Main Authors: Blumensath, T. (Author), Davies, M.E (Author)
Format: Article
Language:English
Published: 2009-11.
Subjects:
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