Presentation 2004/10/21
Spectrum Separation for Electromagnetic Noise using Eigen-Value Decomposition of Covariance Matrix
Hiroshi HIRAYAMA, Nobuyoshi KIKUMA, Kunio SAKAKIBARA, Yoshio KAMI,
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Abstract(in English) In the case of a spectrum measurement in a practical environment, mixed spectrums caused by plural equipments are observed. Therefore, a method to separate the spectrums is desired. In this paper, we propose a method to separate spectrums by using eigenvalue decomposition of covariance matrix, subject to independence of a fluctuation of spectrums. Experiments to separate spectrums caused by personal computers are carried out in order to verify the validity of the method we propose.
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Keyword(in English) Electro-magnetic noise / spectrum separation / covariance matrix / eigenvalue decomposition
Paper # A・P2004-141,RCS2004-162
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Committee RCS
Conference Date 2004/10/21(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Spectrum Separation for Electromagnetic Noise using Eigen-Value Decomposition of Covariance Matrix
Sub Title (in English)
Keyword(1) Electro-magnetic noise
Keyword(2) spectrum separation
Keyword(3) covariance matrix
Keyword(4) eigenvalue decomposition
1st Author's Name Hiroshi HIRAYAMA
1st Author's Affiliation Department of Computer Science and Engineering Nagoya Institute of Technology()
2nd Author's Name Nobuyoshi KIKUMA
2nd Author's Affiliation Department of Computer Science and Engineering Nagoya Institute of Technology
3rd Author's Name Kunio SAKAKIBARA
3rd Author's Affiliation Department of Computer Science and Engineering Nagoya Institute of Technology
4th Author's Name Yoshio KAMI
4th Author's Affiliation Department of Information and Communication Engineering University of Electro-Communications
Date 2004/10/21
Paper # A・P2004-141,RCS2004-162
Volume (vol) vol.104
Number (no) 398
Page pp.pp.-
#Pages 6
Date of Issue