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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Vydané v:	IEEE transactions on signal processing Ročník 65; číslo 21; s. 5687 - 5701
Hlavní autori:	Papyan, Vardan, Sulam, Jeremias, Elad, Michael
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.11.2017
Predmet:	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
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