Genetic algorithms for adaptive phase equalization of minimum phase SAW filters

V. Hegde; S. Pai; W. K. Jenkins; T. B. Wilborn

doi:10.1109/ACSSC.2000.911269

Genetic algorithms for adaptive phase equalization of minimum phase SAW filters

V. Hegde, S. Pai, W. K. Jenkins, T. B. Wilborn

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

This paper investigates the capability of the Genetic Algorithm to achieve convergence to the global minimum for a multi-section all-pass IIR adaptive filter used for digital receiver phase equalization. The effect of population size and mutation rate on the performance of the algorithm is considered. Adaptive crossover and mutation probabilities are used to improve the performance of the algorithm.

Original language	English (US)
Pages (from-to)	1649-1652
Number of pages	4
Journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	2
DOIs	https://doi.org/10.1109/ACSSC.2000.911269
State	Published - 2000

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

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10.1109/ACSSC.2000.911269

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title = "Genetic algorithms for adaptive phase equalization of minimum phase SAW filters",

abstract = "This paper investigates the capability of the Genetic Algorithm to achieve convergence to the global minimum for a multi-section all-pass IIR adaptive filter used for digital receiver phase equalization. The effect of population size and mutation rate on the performance of the algorithm is considered. Adaptive crossover and mutation probabilities are used to improve the performance of the algorithm.",

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AB - This paper investigates the capability of the Genetic Algorithm to achieve convergence to the global minimum for a multi-section all-pass IIR adaptive filter used for digital receiver phase equalization. The effect of population size and mutation rate on the performance of the algorithm is considered. Adaptive crossover and mutation probabilities are used to improve the performance of the algorithm.

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ER -

Genetic algorithms for adaptive phase equalization of minimum phase SAW filters

Abstract

All Science Journal Classification (ASJC) codes

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