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An Avoidance of Local Minimum Stagnation in IIR Filter Design Using PSO

Yuji NISHIMURA, Kenji SUYAMA

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Summary :

In this paper, a design method for the infinite impulse response (IIR) filters using the particle swarm optimization (PSO) is developed. It is well-known that the updating in the PSO tends to stagnate around local minimums due to a strong search directivity. Recently, the asynchronous digenetic PSO with nonlinear dissipative term (N-AD-PSO) has been proposed as a purpose for a diverse search. Therefore, it can be expected that the stagnation can be avoided by the N-AD-PSO. However, there is no report that the N-AD-PSO has been applied to any realistic problems. In this paper, the N-AD-PSO is applied for the IIR filter design. Several examples are shown to clarify the effectiveness and the drawback of the proposed method.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.7 pp.1544-1548
Publication Date
2015/07/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E98.A.1544
Type of Manuscript
LETTER
Category
Digital Signal Processing

Authors

Yuji NISHIMURA
  Tokyo Denki University
Kenji SUYAMA
  Tokyo Denki University

Keyword