| Project/Area Number |
09650472
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
計測・制御工学
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| Research Institution | Shimane University |
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Principal Investigator |
INOUYE Yujiro Shimane University, Faculty of Science and Engineering Department of Electronic and Control Systems Engineering Professor, 総合理工学部, 教授 (40029533)
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| Project Period (FY) |
1997 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 1998: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 1997: ¥2,700,000 (Direct Cost: ¥2,700,000)
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| Keywords | Blind Equalization / System Identification / Multichannel Systems / Statistical Approach / Cumulants / Equalizers / Independent Component Analysis / データ通信 / システム同定 |
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| Research Abstract |
Recently, with the rapid development of high-speed digital computers, it is practically possible to processing a huge size of data all at once. In this research, we considered blind identification and blind deconvolution (or blind equalization) of a discrete-time linear system using the second-order and/or the fourth-order cumulants of the output signals contaminated by additive white or colored Gaussian noise. We first dealt with the problem of identification of multichannel linear systems driven by unobservable colored signals. It was shown that the transfer function matrix of an unknown system is identified up to post-multiplication of a generalized permutation matrix. Then we considered the blind deconvolution (or blind equalization ) problem of multichannel linear systems, and propose a multistage maximization criterion and a single-stage maximization criterion for solving this problem. We derived a necessary and sufficient condition for multichannel blind equalization. We proposed a new unconstrained multistage criterion for solving the blind deconvolution problem. Based on these multistage criteria, we developed iterative algorithms for multichannel blind deconvolution. In irde to corrobolate the theiretical results developed in this project, we investigated the effectiveness of the proposed algorithms through digital simulations.
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