Design of M-band optimal orthonormal wavelet of compact support for signal de-noising by using the principle of complexity regularization
DSpace at IIT Bombay
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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
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Creator |
DAS, A
DESAI, UB VAIDYA, PP |
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Subject |
computational complexity
signal restoration wavelet transforms |
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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.
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Publisher |
IEEE
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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 |
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Type |
Article
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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 |
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Language |
en
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