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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

Das, A. ; Desai, U.B. ; Vaidya, R.P.

ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483), 2001, Vol.1, p.445-448 vol.1

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Título:
Design of M-band optimal orthonormal wavelet of compact support for signal de-noising by using the principle of complexity regularization
Autor: Das, A. ; Desai, U.B. ; Vaidya, R.P.
Assuntos: Algorithm design and analysis ; Cost function ; Data mining ; Finite impulse response filter ; Gaussian noise ; Libraries ; Search methods ; Signal denoising ; Signal design ; Wavelet coefficients
É parte de: ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483), 2001, Vol.1, p.445-448 vol.1
Descrição: 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.
Editor: IEEE
Idioma: Inglês

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