Cultural evolutionary design of adaptive wavelet filters based on lifting scheme for micro-instruments

被引：2

作者：

Arpaia, Pasquale ^{[2
]}

Manna, Carlo ^{[1
]}

Romanucci, Carmine ^{[3
]}

Zanesco, Antonio ^{[3
]}

机构：

[1] Univ Naples Federico II, Dipartimento Ingn Elettr, I-80125 Naples, Italy

[2] Univ Sannio, CERN, European Lab Nucl Res,Dipartimento Ingn, Dept Technol,Grp Magnets Superconductors & Cryost, CH-1211 Geneva 23, Switzerland

[3] Univ Sannio, Dipartimento Ingn, I-82100 Benevento, Italy

来源：

MEASUREMENT | 2010年 / 43卷 / 07期

关键词：

Filtering; Wavelet transforms; Genetic algorithms; Impedance measurement; SYSTEM;

D O I：

10.1016/j.measurement.2010.04.003

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

An evolutionary procedure based on cultural algorithms for the optimal design of adaptive wavelet filters based on lifting scheme is proposed. Numerical results of characterization, based on statistical experiment design, as well as validation, based on the comparison with a genetic optimization algorithm, are presented. Experimental results of the validation on two case studies for reducing uncertainty arising from noise in on-field corrosion rate measurements are highlighted. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：966 / 974

页数：9

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[2]

[Anonymous], ACM SIGGRAPH COURSE

[3]

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[4]

ARPAIA P, 2006, P CEOCOR 2006 7 INT