Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding

The celebrated sparse representation model has led to remarkable results in various signal processing tasks in the last decade. However, despite its initial purpose of serving as a global prior for entire signals, it has been commonly used for modeling low dimensional patches due to the computationa...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 65; H. 21; S. 5687 - 5701
Hauptverfasser:	Papyan, Vardan, Sulam, Jeremias, Elad, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2017
Schlagworte:	basis pursuit Computational modeling Convolution Convolutional codes convolutional sparse coding Dictionaries global modeling local processing Matching pursuit algorithms Mathematical model orthogonal matching pursuit Sparse matrices Sparse representations stability guarantees uniqueness guarantees
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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