Optimal Design of Wavelet Filters Based on Lifting Scheme by Means of Cultural Algorithms

Author

Arpaia, Pasquale ; Romanucci, Carmine ; Zanesco, Antonio

Author_Institution

Dipt. di Ingegneria, Universita del Sannio, Benevento

fYear

2006

fDate

24-27 April 2006

Firstpage

1245

Lastpage

1250

Abstract

An evolutionary procedure for the optimal design of adaptive wavelet filters based on lifting scheme is proposed. In particular, among state-of-the-art evolutionary techniques, cultural algorithms are exploited for their improved accuracy and efficiency. Numerical results of (i) a comprehensive characterization of the proposed procedure based on statistical experiment design, and (ii) validation based on the comparison with state-of-the-art filters are presented, by referring to an application of impedance spectra filtering

Keywords

adaptive filters; circuit optimisation; genetic algorithms; wavelet transforms; adaptive wavelet filters; comprehensive characterization; cultural algorithms; genetic algorithms; impedance measurement; impedance spectra filtering; lifting scheme; numerical results; optimal design; statistical experiment design; wavelet transforms; Adaptive filters; Algorithm design and analysis; Cultural differences; Genetic algorithms; Genetic mutations; Impedance; Information filtering; Information filters; Instrumentation and measurement; Wavelet coefficients; Filtering; Genetic algorithms; Impedance measurement; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE

Conference_Location

Sorrento

ISSN

1091-5281

Print_ISBN

0-7803-9359-7

Electronic_ISBN

1091-5281

Type

conf

DOI

10.1109/IMTC.2006.328487

Filename

4124541