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A parallel constraint disintegration and approximation scheme for quadratic signal recovery

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1 Author(s)
Combettes, P.L. ; Lab. d''Anal. Numerique, Univ. Pierre et Marie Curie, Paris, France

A block-iterative parallel decomposition method is proposed to solve general quadratic signal recovery problems under convex constraints. Unlike existing schemes, the proposed method proceeds by local linearizations of blocks of constraints and it is therefore not sensitive to their analytical complexity. Implementation-related issues are discussed and an application to signal deconvolution is demonstrated

Published in:
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on  (Volume:1 )

Date of Conference: 2000

Page(s):
165 - 168 vol.1
Meeting Date :
05 Jun 2000-09 Jun 2000
ISSN :
1520-6149
Print ISBN:
0-7803-6293-4
INSPEC Accession Number:
6734471
Conference Location :
Istanbul
Digital Object Identifier :
10.1109/ICASSP.2000.861901
Product Type:
Conference Publications

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