DocumentCode :
2207286
Title :
Iterative method for creating wavelet dictionaries
Author :
Rautiainen, Mikko ; Malmivuo, Jaakko
Author_Institution :
Ragnar Granit Inst., Tampere Univ. of Technol., Tampere, Finland
fYear :
2002
fDate :
3-6 Sept. 2002
Firstpage :
1
Lastpage :
4
Abstract :
A method is proposed for creating dictionaries of near-perfect reconstruction wavelets. Choosing a wavelet from a wavelet dictionary is an attractive alternative to customizing a wavelet for a specific task. The method is based on a modified simulated annealing scheme that implements unconstrained minimization. The amount of vanishing moments for the decomposition wavelets was fixed before the iteration. The iteration strived to produce wavelets with good time localization. We used the method to create two wavelet dictionaries. The first set was comprised of 269 wavelets, each having two vanishing moments. The second set of 33 wavelets had three vanishing moments.
Keywords :
channel bank filters; decomposition; iterative methods; signal reconstruction; simulated annealing; wavelet transforms; decomposition wavelets; iterative method; near-perfect reconstruction wavelets; simulated annealing scheme; vanishing moments; wavelet dictionaries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse
ISSN :
2219-5491
Type :
conf
Filename :
7070770
Link To Document :
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