The application of particle swarm optimization to adaptive IIR phase equalization

D. J. Krusienski; W. K. Jenkins

The application of particle swarm optimization to adaptive IIR phase equalization

D. J. Krusienski, W. K. Jenkins

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper investigates the application of particle swarm optimization techniques to infinite impulse response (IIR) adaptive phase equalizers. Particle swarm optimization (PSO) is similar to the genetic algorithm (GA) in that it utilizes a population based search suitable for optimizing multimodal error surfaces where gradient-based algorithms tend to fail, such as those generated by IIR adaptive filters. This paper will investigate PSO for the phase equalization of minimum phase surface acoustic wave (SAW) filters used in CDMA receivers.

Original language	English (US)
Pages (from-to)	II693-II696
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
State	Published - 2004
Event	Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: May 17 2004 → May 21 2004

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "The application of particle swarm optimization to adaptive IIR phase equalization",

abstract = "This paper investigates the application of particle swarm optimization techniques to infinite impulse response (IIR) adaptive phase equalizers. Particle swarm optimization (PSO) is similar to the genetic algorithm (GA) in that it utilizes a population based search suitable for optimizing multimodal error surfaces where gradient-based algorithms tend to fail, such as those generated by IIR adaptive filters. This paper will investigate PSO for the phase equalization of minimum phase surface acoustic wave (SAW) filters used in CDMA receivers.",

author = "Krusienski, {D. J.} and Jenkins, {W. K.}",

year = "2004",

language = "English (US)",

volume = "2",

pages = "II693--II696",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 17-05-2004 Through 21-05-2004",

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T1 - The application of particle swarm optimization to adaptive IIR phase equalization

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AU - Jenkins, W. K.

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N2 - This paper investigates the application of particle swarm optimization techniques to infinite impulse response (IIR) adaptive phase equalizers. Particle swarm optimization (PSO) is similar to the genetic algorithm (GA) in that it utilizes a population based search suitable for optimizing multimodal error surfaces where gradient-based algorithms tend to fail, such as those generated by IIR adaptive filters. This paper will investigate PSO for the phase equalization of minimum phase surface acoustic wave (SAW) filters used in CDMA receivers.

AB - This paper investigates the application of particle swarm optimization techniques to infinite impulse response (IIR) adaptive phase equalizers. Particle swarm optimization (PSO) is similar to the genetic algorithm (GA) in that it utilizes a population based search suitable for optimizing multimodal error surfaces where gradient-based algorithms tend to fail, such as those generated by IIR adaptive filters. This paper will investigate PSO for the phase equalization of minimum phase surface acoustic wave (SAW) filters used in CDMA receivers.

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M3 - Conference article

AN - SCOPUS:4644285903

SN - 1520-6149

VL - 2

SP - II693-II696

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 17 May 2004 through 21 May 2004

ER -

The application of particle swarm optimization to adaptive IIR phase equalization

Abstract

All Science Journal Classification (ASJC) codes

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