OPTIMIZATION OF WAVELET FILTERING ALGORITHMS WITH MULTIPARAMETER THRESHOLD FUNCTIONS
Yu. E. Voskoboinikov
Novosibirsk State University of Civil Engineering, ul. Leningradskaya 113, Novosibirsk, 630008 Russia
Keywords: wavelet filtering, multiparameter threshold functions, estimation of optimal threshold values
Abstract
Optimization of wavelet filtering algorithms with two– and three–parameter threshold functions is considered. The optimization is performed in two ways: by selecting the best threshold function and estimating its optimal parameters. Recommendations for the use of certain threshold functions in practice are given based on analysis of the results of numerical studies.
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