Presentation 2000/10/17
Noise Robust Blind System Identification Using NLMS
Mirai Oshiro, Hideyasu Hayashi, Hiroshi Ochi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a noise robust blind system identification scheme using second order statistics. This technique makes use of a single-input triple-outputs(SITO)model in terms of unknown systems and the correlation function of received signals. In addition, we propose an iterative algorithm using Normalized least-mean-square (NLMS)method. As well as the derivation of the algorithm, some computer simulations are also shown.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Noise Robust / Blind System Identification / Second Order Statistics / SIMO Model / NLMS
Paper # DSP2000-129, ICD2000-122, IE2000-74
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Conference Information
Committee IE
Conference Date 2000/10/17(1days)
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Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Noise Robust Blind System Identification Using NLMS
Sub Title (in English)
Keyword(1) Noise Robust
Keyword(2) Blind System Identification
Keyword(3) Second Order Statistics
Keyword(4) SIMO Model
Keyword(5) NLMS
1st Author's Name Mirai Oshiro
1st Author's Affiliation Department of Information System Graduate School of Information Engineering Kyushu Institute of Technology()
2nd Author's Name Hideyasu Hayashi
2nd Author's Affiliation Department of Information System Graduate School of Information Engineering Kyushu Institute of Technology
3rd Author's Name Hiroshi Ochi
3rd Author's Affiliation Department of Information System Graduate School of Information Engineering Kyushu Institute of Technology
Date 2000/10/17
Paper # DSP2000-129, ICD2000-122, IE2000-74
Volume (vol) vol.100
Number (no) 389
Page pp.pp.-
#Pages 8
Date of Issue