New approach to the optimal choice of a wavelet for signal representation

Isin Erer*, Tayfun Gunel

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

A new optimization approach for the design of discrete orthogonal wavelet of support less than or equal to some given integer that leads to the best approximation to a given finite support signal up to a desired scale is discussed. A new global hybrid optimization strategy, involving the combination of simulated annealing and Hooke-Jeeves algorithms is developed and applied to minimize certain cost function defined by an error function between original and approximated signals and wavelet admissibility conditions. The method turns the constrained minimization over the parameters that define discrete finite support orthogonal wavelets into an unconstrained one and can be implemented much faster than any other algorithms presented in literature.

Original languageEnglish
Pages1018-1021
Number of pages4
Publication statusPublished - 1996
EventProceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3) - Bari, Italy
Duration: 13 May 199616 May 1996

Conference

ConferenceProceedings of the 1996 8th Mediterranean Electrotechnical Conference, MELECON'06. Part 3 (of 3)
CityBari, Italy
Period13/05/9616/05/96

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