Comparison of the convergence of IIR evolutionary digital filters and other adaptive digital filters on a multiple-peak surface

Masahide Abe, Masayuki Kawamata

Research output: Contribution to journalConference article

8 Citations (Scopus)

Abstract

This paper demonstrates the comparison of the convergence behavior of the IIR evolutionary digital filter (IIR-EDF), the LMS adaptive digital filter (LMS-ADF) and the adaptive digital filter based on the simple genetic algorithm (SGA-ADF) on a multiple-peak surface. In numerical examples, the authors use reduced-order system identification to simulate a multiple-peak surface in which local minimum problems can be encountered. The experimental results show that the EDF adaptive algorithm can search the global minimum in the multiple-peak surface of these examples and has smaller adaptation noise than the other algorithms.

Original languageEnglish
Pages (from-to)1674-1678
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
Publication statusPublished - 1998 Jan 1
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: 1997 Nov 21997 Nov 5

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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