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Design of M-band optimal orthonormal wavelet of compact support for signal de-noising by using the principle of complexity regularization

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Title Design of M-band optimal orthonormal wavelet of compact support for signal de-noising by using the principle of complexity regularization
 
Creator DAS, A
DESAI, UB
VAIDYA, PP
 
Subject computational complexity
signal restoration
wavelet transforms
 
Description A two stage algorithm is presented in this paper to design optimal M-band orthonormal wavelets of compact support for signal de-noising. A cost function d(.,.), suitable for the signal de-noising, is minimized to select the optimal basis. A parameterized representation of wavelet bases is used to constrain the values and reduce the number of independent parameters with the freedom of choice of basis. The complexity regularization criterion is used to broaden the search range for the optimal wavelet basis. Simulation results are presented to illustrate the efficacy of the proposed scheme.
 
Publisher IEEE
 
Date 2008-12-10T12:46:50Z
2011-11-27T11:46:35Z
2011-12-15T09:58:17Z
2008-12-10T12:46:50Z
2011-11-27T11:46:35Z
2011-12-15T09:58:17Z
2001
 
Type Article
 
Identifier Proceedings of the 8th IEEE International Conference on Electronics, Circuits and Systems (V 1), Malta, Austria, 2-5 September 2001, 445-448
0-7803-7057-0
10.1109/ICECS.2001.957775
http://hdl.handle.net/10054/280
http://dspace.library.iitb.ac.in/xmlui/handle/10054/280
 
Language en