A Design Method of Parallel Fast RLS Second-Order Adaptive Volterra Filter(Nonlinear Problems)
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概要
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The adaptive Volterra filter (AVF) is attractive in adaptive filtering applications because its expansion is a linear combination of the input and output signals. However, the formidable computational work of AVF is prohibitive for practical applications. In this letter, we present a parallel fast recursive least squares (RLS) second-order adaptive Volterra filter (PAVF) to reduce computational load. Our discussion is based on the approach of the fast RLS AVF [3], by which the computational complexity has been reduced to O(N^3) multiplications per time instant, where O(・) denotes "order of, " and N is the filter length. Proposed PAVF consists of several subfilters partitioned from the conventional AVF, with parallel implementation, the computational work can be reduced effectively. Several simulation results are presented to validate the proposed method.
- 社団法人電子情報通信学会の論文
- 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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