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Design of CSD Coefficient FIR Filters Using PSO with Penalty Function

Kazuki SAITO, Kenji SUYAMA

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Summary :

In this paper, we propose a method for designing finite impulse response (FIR) filters with canonic signed digit (CSD) coefficients using particle swarm optimization (PSO). In such a design problem, a large number of local minimums appear in an evaluation function for the optimization. An updating procedure of PSO tends to stagnate around such local minimums and thus indicates a premature convergence property. Therefore, a new framework for avoiding such a situation is proposed, in which the evaluation function is modified around the stagnation point. Several design examples are shown to present the effectiveness of the proposed method.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.12 pp.2625-2632
Publication Date
2015/12/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E98.A.2625
Type of Manuscript
PAPER
Category
Digital Signal Processing

Authors

Kazuki SAITO
  Tokyo Denki University
Kenji SUYAMA
  Tokyo Denki University

Keyword