Robust iterative hard thresholding for compressed sensing

Compressed sensing (CS) or sparse signal reconstruction (SSR) is a signal processing technique that exploits the fact that acquired data can have a sparse representation in some basis. One popular technique to reconstruct or approximate the unknown sparse signal is the iterative hard thresholding (I...

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Veröffentlicht in:	arXiv.org 2014-05
Hauptverfasser:	Ollila, Esa, Hyon-Jung, Kim, Koivunen, Visa
Format:	Artikel
Sprache:	eng
Schlagworte:	Data acquisition Noise Normal distribution Outliers (statistics) Random noise Signal processing Signal reconstruction
Online-Zugang:	Volltext
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