Presentation 2011-01-27
Processing burden reduction of a large-scale data compression by employing averaged compressed sensing
Doohwan LEE, Takayuki YAMADA, Hiroyuki SHIBA, Yo YAMAGUCHI, Kazuhiro UEHARA,
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Abstract(in English) Compressed sensing has been drawn much attention during last few years as an eminent solution for ill-posed inverse problem. However, compressed sensing is inherently vulnerable for the large-scale data process due to its time-consuming reconstruction process. Therefore, this paper pursues a solution to solve the scalability problem in compressed sensing. This paper proposes an averaged compressed sensing method which reduces the signal processing burden in dealing with large-scale data as follows: First, large-scale data which is sampled over Nyquist rate is divided into multiple groups. Then, conventional measurement is conducted for each group with identical measurement matrix. Second, multiple measurements data is averaged. Alternatively, the averaging process can be conducted prior to the measurement process. Experiments verify the practical validity of the proposed method.
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Keyword(in English) Compressed sensing / Compressive sampling / Flexible wireless system / L1-norm minimization
Paper # SR2010-69
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Conference Date 2011/1/20(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Processing burden reduction of a large-scale data compression by employing averaged compressed sensing
Sub Title (in English)
Keyword(1) Compressed sensing
Keyword(2) Compressive sampling
Keyword(3) Flexible wireless system
Keyword(4) L1-norm minimization
1st Author's Name Doohwan LEE
1st Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation()
2nd Author's Name Takayuki YAMADA
2nd Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
3rd Author's Name Hiroyuki SHIBA
3rd Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
4th Author's Name Yo YAMAGUCHI
4th Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
5th Author's Name Kazuhiro UEHARA
5th Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation
Date 2011-01-27
Paper # SR2010-69
Volume (vol) vol.110
Number (no) 398
Page pp.pp.-
#Pages 6
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