Distributed Evolutionary Digital Filters for IIR Adaptive Digital Filters
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概要
- 論文の詳細を見る
This paper proposes distributed evolutionary digital filters (EDFs) as an improved version of the original EDF. The EDF is an adaptive digital filter which is controlled by adaptive algorithm based on evolutionary computation. In the proposed method, a large population of the original EDF is divided into smaller subpopulations. Each sub-EDF has one subpopulation and executes the small-sized main loop of the original EDF. In addition, the distributed algorithm periodically selects promising individuals from each subpopulation. Then, they migrate to different subpopulations. Numerical examples show that the distributed EDF has a higher convergence rate and smaller steady-state value of the square error than the LMS adaptive digital filter, the adaptive digital filter based on the simple genetic algorithm and the original EDF.
- 社団法人電子情報通信学会の論文
- 2001-08-01
著者
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Kawamata Masayuki
The Authors Are With The Graduate School Of Engineering Tohoku University
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Abe Masahide
The Authors Are With The Graduate School Of Engineering Tohoku University
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Kawamata Masayuki
The Authors Are With The Department Of Electronic Engineering Graduate School Of Engineering Tohoku
関連論文
- Design and Realization of Variable IIR Digital Filters as a Cascade of Identical Subfilters
- Distributed Evolutionary Digital Filters for IIR Adaptive Digital Filters
- Design of Variable Digital Filters Based on State-Space Realizations
- A Measure of Coefficient Quantization Errors for Linear Discrete-Time State-Space Systems