Approximation of frame based missing data recovery

Recovering missing data from its partial samples is a fundamental problem in mathematics and it has wide range of applications in image and signal processing. While many such algorithms have been developed recently, there are very few papers available on their error estimations. This paper is to ana...

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Veröffentlicht in:	Applied and computational harmonic analysis Jg. 31; H. 2; S. 185 - 204
Hauptverfasser:	Cai, Jian-Feng, Shen, Zuowei, Ye, Gui-Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.09.2011
Schlagworte:	[formula omitted] minimization Algorithms Approximation Covering number Error estimation Errors Framelet Frames Mathematical analysis Mathematical models Missing data Missing data recovery Uniform law of large numbers Framelet ℓ 1 minimization Error estimation Covering number Missing data recovery Uniform law of large numbers
ISSN:	1063-5203, 1096-603X
Online-Zugang:	Volltext
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