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Distributed Evolutionary Digital Filters for IIR Adaptive Digital Filters

Masahide ABE, Masayuki KAWAMATA

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Summary :

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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.8 pp.1848-1855
Publication Date
2001/08/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Digital Signal Processing)
Category
Adaptive Signal Processing

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