Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328487
