フィルター設計におけるPSOアルゴリズム評価関数演算部の改良

DOI

書誌事項

タイトル別名
  • Fitness Function Improvement for Particle Swarm Optimization based Filter Design

説明

Introducing Particle Swarm optimization (PSO) algorithm to Finite Impulse Response (FIR) filter is an effective solution for adaptive filter design. Nevertheless, the system always works slowly since the fitness function of the algorithm is too complex. The study in this paper considers an improved fitness function that not only simplifies the system but also increases the calculation speed. By applying the improved fitness function to the PSO based FIR filters, the simulation result shows that the system speed is increased drastically and a high filter performance can be achieved.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390282680641451904
  • NII論文ID
    130005455474
  • DOI
    10.11527/jceeek.2011.0_246
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

問題の指摘

ページトップへ