University of Hertfordshire

By the same authors

A PSO Method for Wavelet Approximation

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A PSO Method for Wavelet Approximation. / Li, Hongmin; He, Yigang; Sun, Yichuang.

In: Information Technology Journal, Vol. 13, No. 4, 15.02.2014, p. 661-668.

Research output: Contribution to journalArticlepeer-review

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Li, Hongmin ; He, Yigang ; Sun, Yichuang. / A PSO Method for Wavelet Approximation. In: Information Technology Journal. 2014 ; Vol. 13, No. 4. pp. 661-668.

Bibtex

@article{e82ab9e1e7784497be4cfaf942a30537,
title = "A PSO Method for Wavelet Approximation",
abstract = "For implementing wavelet transform in analog hardware systems with very low power consumption and small size, a particle swarm optimization method is employed in the approximating of wavelet functions. First, utilizing the least-squares error criterion, a general mathematical model for approximating wavelet functions is established. Then the technique of L2 approximation based on Particle Swarm Optimization (PSO) is presented, which is more attractive. These techniques are compared by means of a worked example, involving some wavelet approximation. The L2 approximation approach based on PSO is shown to exhibit superior performance.",
author = "Hongmin Li and Yigang He and Yichuang Sun",
year = "2014",
month = feb,
day = "15",
doi = "10.3923/itj.2014.661.668",
language = "English",
volume = "13",
pages = "661--668",
journal = "Information Technology Journal",
number = "4",

}

RIS

TY - JOUR

T1 - A PSO Method for Wavelet Approximation

AU - Li, Hongmin

AU - He, Yigang

AU - Sun, Yichuang

PY - 2014/2/15

Y1 - 2014/2/15

N2 - For implementing wavelet transform in analog hardware systems with very low power consumption and small size, a particle swarm optimization method is employed in the approximating of wavelet functions. First, utilizing the least-squares error criterion, a general mathematical model for approximating wavelet functions is established. Then the technique of L2 approximation based on Particle Swarm Optimization (PSO) is presented, which is more attractive. These techniques are compared by means of a worked example, involving some wavelet approximation. The L2 approximation approach based on PSO is shown to exhibit superior performance.

AB - For implementing wavelet transform in analog hardware systems with very low power consumption and small size, a particle swarm optimization method is employed in the approximating of wavelet functions. First, utilizing the least-squares error criterion, a general mathematical model for approximating wavelet functions is established. Then the technique of L2 approximation based on Particle Swarm Optimization (PSO) is presented, which is more attractive. These techniques are compared by means of a worked example, involving some wavelet approximation. The L2 approximation approach based on PSO is shown to exhibit superior performance.

U2 - 10.3923/itj.2014.661.668

DO - 10.3923/itj.2014.661.668

M3 - Article

VL - 13

SP - 661

EP - 668

JO - Information Technology Journal

JF - Information Technology Journal

IS - 4

ER -