Iterative Hard Thresholding and L0 Regularisation

Sparse signal approximations are approximations that use only a small number of elementary waveforms to describe a signal. In this paper we proof the convergence of an iterative hard thresholding algorithm and show, that the fixed points of that algorithm are local minima of the sparse approximation...

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Vydané v:	2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 Ročník 3; s. III-877 - III-880
Hlavní autori:	Blumensath, T., Yaghoobi, M., Davies, M.E.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2007
Predmet:	Approximation algorithms Convergence Cost function Equations Iterative algorithms Iterative Thresholding L0 Regularisation Matching pursuit algorithms Noise reduction Pursuit algorithms Signal processing Signal processing algorithms Sparse Approximations
ISBN:	9781424407279, 1424407273
ISSN:	1520-6149
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