Presentation | 2013-05-23 A Study on Reconstruction Control in Compressive Sensing for Change Detection of Multi-dimensional Data Hiroki FURUSAWA, Hiroyuki KASAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | One way to detect the change of multi-dimensional data is tensor decomposition. Sensing vectors obtained using the core tensor and Compressive Sensing. Efficient change detection methods t have been proposed while avoiding an increase of the additionnal processing load by treating instead the sensing vectors obtained using a core tensor Compressive Sensing. This paper proposes a efficient data restoration method that dynamically changs the number of samples of the sensing matrix. This adaptation folllows the distribution of the nonzero elements of the input signal. Final simulation experiments shows improvements in the higher rate of data restoration by comparing with the conventional method while avoiding compatation load increase. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Tensor Decomposition / Compressive Sensing / Change detection / Multi-dimensional Data |
Paper # | MoNA2013-1 |
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Committee | MoNA |
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Conference Date | 2013/5/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Mobile Network and Applications(MoNA) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Reconstruction Control in Compressive Sensing for Change Detection of Multi-dimensional Data |
Sub Title (in English) | |
Keyword(1) | Tensor Decomposition |
Keyword(2) | Compressive Sensing |
Keyword(3) | Change detection |
Keyword(4) | Multi-dimensional Data |
1st Author's Name | Hiroki FURUSAWA |
1st Author's Affiliation | Graduate School of information systems, The University of Electro-communications() |
2nd Author's Name | Hiroyuki KASAI |
2nd Author's Affiliation | Graduate School of information systems, The University of Electro-communications |
Date | 2013-05-23 |
Paper # | MoNA2013-1 |
Volume (vol) | vol.113 |
Number (no) | 56 |
Page | pp.pp.- |
#Pages | 6 |
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