A Subspace Blind Identification Algorithm with Reduced Computational Complexity : Colored Noise Case(Digital Signal Processing)
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概要
- 論文の詳細を見る
We have proposed in [5] a practical blind channel identification algorithm for the white observation noise. In this paper, we examine the effectiveness of the algorithm given in [5] for the colored observation noise. The proposed algorithm utilizes Gram-Schmidt orthogonalization procedure and estimates (1) the channel order, (2) the noise variance and then (3) the channel impulse response with less computational complexity compared to the conventional algorithms using eigenvalue decomposition. It can be shown through numerical examples that the algorithm proposed in [5] is quite effective in the colored noise case.
- 社団法人電子情報通信学会の論文
- 2005-07-01
著者
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TSUJII Shigeo
Research and Development Initiative, Chuo University
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SAKANIWA Kohichi
Dept. of Communications & Integrated Systems, Tokyo Institute of Technology
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Sakaniwa Kohichi
Tokyo Inst. Of Technol. Tokyo Jpn
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Sakaniwa Kohichi
Dept. Of Communications And Integrated Systems Tokyo Institute Of Technology
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Tsujii S
Institute Of Information Security
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Tsujii Shigeo
Graduate School Of Information Security Institute Of Information Security:research And Development I
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Tsujii Shigeo
Institute Of Information Security
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TANABE Nari
Dept. of Communications and Integrated Systems, Tokyo Institute of Technology
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FURUKAWA Toshihiro
Dept. of Management Science, Tokyo University of Science
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Tanabe Nari
Department Of Electronic Systems Engineering Tokyo University Of Science
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Tsujii Shigeo
Graduate School Of Information Security Institute Of Information Security
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Tsujii S
Graduate School Of Information Security Institute Of Information Security:research And Development I
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FURUKAWA Toshihiro
Department of Management Science, Tokyo University of Science
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Furukawa Toshihiro
Department Of Management Science Tokyo University Of Science
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