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Cosparse Analysis Modeling
Abstract : In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. This work considers an alternative analysis-based model, where an analysis operator multiplies the signal, leading to a cosparse outcome. We consider this analysis model, in the context of a generic missing data problem. Our work proposes a uniqueness result for the solution of this problem, based on properties of the analysis operator and the measurement matrix. A new greedy algorithm for solving the missing data problem is proposed along with theoretical study of the success of the algorithm and experimental results.
Cited literature [7 references]
https://hal.inria.fr/inria-00587943
Contributor : Sangnam Nam Connect in order to contact the contributor
Submitted on : Friday, September 16, 2011 - 11:17:00 AM
Last modification on : Thursday, January 20, 2022 - 5:28:48 PM
Long-term archiving on: : Saturday, December 3, 2016 - 6:20:05 PM
Contributor : Sangnam Nam Connect in order to contact the contributor
Submitted on : Friday, September 16, 2011 - 11:17:00 AM
Last modification on : Thursday, January 20, 2022 - 5:28:48 PM
Long-term archiving on: : Saturday, December 3, 2016 - 6:20:05 PM
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cosparse_analysis_spars11.pdf
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