Blind Identification of IIR Model Based on Output Over-Sampling
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概要
- 論文の詳細を見る
A new identification algorithm based on output over-sampling scheme is proposed for a IIR model whose input signal can not be available directly. By using only an output signal sampled at higher rate than unknown input, parameters of the IIR model can be identified. It is clarified that the consistency of the obtained parameter estimates is assured under some specified conditions. Further an efficient recursive algorithm for blind parameter estimation is also given for practical applications. Simulation results demonstrate its effectiveness in both system and channel identification.
- 社団法人電子情報通信学会の論文
- 1998-11-25
著者
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佐野 明
天理よろづ相談所病院放射線部
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Sano A
Tokyo Univ. Sci. Chiba Jpn
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KAGIWADA Hajime
the Faculty of Science and Technology, Keio University
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SUN Lianming
the Faculty of Science and Technology, Keio University
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SANO Akira
the Faculty of Science and Technology, Keio University
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LIU Wenjiang
the Department of Automatic Control Engineering, Xi'an Jiaotong University
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Sun Lianming
Faculty Of Science And Technology Keio University
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Liu Wenjiang
Department Of Automatic Control Engineering Xi'an Jiaotong University
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Kagiwada H
The Faculty Of Science And Technology Keio University
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Sano Akira
Tenri Hospital
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