A Method for Parallel Adaptive Volterra Filter Using RLS Algorithm
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概要
- 論文の詳細を見る
In recent years, the adaptive Volterra filter (AVF) based on discrete Volterra series has been used to identify a nonlinear system, remove nonlinear distortion etc. Since AVF is an extension of the conventional linear digital filters, the algorithms used in linear filters are easily used in AVF, and AVF is sufficiently approximate to the complicated systems due to its general function expansion. However, AVF has a problem that the calculation work becomes extremely large for long memory length, or for filtering high-order nonlinear characteristic. This paper presents a type of parallel adaptive Volterra filter (PAVF) to decrease the calculation complexity. Finally, to illustrate the effectiveness of the proposed method, the results of computer simulation with recursive least squares (RLS) algorithm are presented.
- 社団法人 電気学会の論文
- 2006-01-01
著者
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LU Jianming
Graduate School of Science and Technology, Chiba University
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YAHAGI Takashi
Graduate School of Science and Technology, Chiba University
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Lu Jianming
Graduate School Of Science And Technology Chiba University
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Yahagi Takashi
Chiba University
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Yahagi Takashi
Graduate School Of Advanced Integration Science Chiba University
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Yahagi Takashi
Chiba Univ. Chiba‐shi Jpn
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ZHAO Xueqin
Graduate School of Science and Technology, Chiba University
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Zhao Xueqin
Graduate School Of Science And Technology Chiba University
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