Adaptive IIR phase equalizers based on stochastic search algorithms

S. Pai, W. K. Jenkins, D. J. Krusienski

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

Two well known optimization algorithms, the Genetic Algorithm (GA) and the Simulated Annealing Algorithm (SAA), are investigated for IIR adaptive phase equalizers. For non-convex error surfaces, gradient-based algorithms often fail to find the global optimum. This work compares the ability of the GA and the SAA to achieve the global minimum solution for multi-order all-pass adaptive filters to be used for the phase equalization of minimum phase SAW filters.

Original languageEnglish (US)
Pages (from-to)652-656
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Dec 1 2003
EventConference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 9 2003Nov 12 2003

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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