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Cultural evolutionary design of adaptive wavelet filters based on lifting scheme for micro-instruments
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 alg...
| Autores principales: | , , , , |
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| Lenguaje: | eng |
| Publicado: |
2010
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1016/j.measurement.2010.04.003 http://cds.cern.ch/record/1359336 |
| Sumario: | 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. |
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