"1"^^ . . . "0"^^ . "1"^^ . "0"^^ . "Ostrava" . "Kupczak, Marek" . "27230" . "2003-05-06+02:00"^^ . . "Ostrava" . . "8"^^ . "Z(MSM 272300012)" . "This contribution describes a method for ideal denoising. This method is based on a choice of an optimal basis from a library of wavelet orthogonal bases. This is the process of minimizing of the cost function of entropy in contribution with shrinkage method. In particular, the chosen shrinkage methods are the estimation of standard deviation ? and of Donoho-Johnstone sure threshold ? for the wavelet coefficients. The entropy is defined by the discrete distribution of squared wavelet coefficients. The Donoho threshold belongs to the simplest non-linear wavelet shrinkage, concretely to the soft thresholding. The results of this ideal denoising are presented on several examples. The algorithm selecting an optimal basis from a library of wavelet bases for ideal denoising was created with using MATLAB and The Wavelet Toolbox." . . . . "Proceedings of XXVIII Seminary ASR 2003 %22Instruments and Control%22" . "de-noising, entropy, library, threshold, wavelet"@en . . "Vysok\u00E1 \u0161kola b\u00E1\u0148sk\u00E1 - Technick\u00E1 univerzita Ostrava" . . . "Ideal Choice of an Orthogonal Basis from a Library of Bases for Denoising"@en . "This contribution describes a method for ideal denoising. This method is based on a choice of an optimal basis from a library of wavelet orthogonal bases. This is the process of minimizing of the cost function of entropy in contribution with shrinkage method. In particular, the chosen shrinkage methods are the estimation of standard deviation ? and of Donoho-Johnstone sure threshold ? for the wavelet coefficients. The entropy is defined by the discrete distribution of squared wavelet coefficients. The Donoho threshold belongs to the simplest non-linear wavelet shrinkage, concretely to the soft thresholding. The results of this ideal denoising are presented on several examples. The algorithm selecting an optimal basis from a library of wavelet bases for ideal denoising was created with using MATLAB and The Wavelet Toolbox."@en . "RIV/61989100:27230/03:00007828" . "Ideal Choice of an Orthogonal Basis from a Library of Bases for Denoising" . "RIV/61989100:27230/03:00007828!RIV/2004/MSM/272304/N" . . "181-188" . . "Ideal Choice of an Orthogonal Basis from a Library of Bases for Denoising"@en . . "[8BE4830C2510]" . . "80-248-0326-7" . "Ideal Choice of an Orthogonal Basis from a Library of Bases for Denoising" . "609646" . . . . .