Sparse signal subspace decomposition based on adaptive over-complete dictionary

Sparse signal subspace decomposition based on adaptive over-complete dictionary

Abstract This paper proposes a subspace decomposition method based on an over-complete dictionary in sparse representation, called “sparse signal subspace decomposition” (or 3SD) method. This method makes use of a novel criterion based on the occurrence frequency of atoms of the dictionary over the...

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Bibliographic Details
Main Authors: Hong Sun, Cheng-wei Sang, Didier Le Ruyet
Format: Article
Language:English
Published: SpringerOpen 2017-07-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Subspace decomposition
Sparse representation
Frequency of components
PCA
K-SVD
Image denoising
Online Access:http://link.springer.com/article/10.1186/s13640-017-0200-7

Internet

http://link.springer.com/article/10.1186/s13640-017-0200-7

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