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Construction of orthogonal multiwavelets with short sequence via genetic algorithm
引用本文:PAN Jin,JIAO Licheng,CHEN Li. Construction of orthogonal multiwavelets with short sequence via genetic algorithm[J]. 自然科学进展(英文版), 2000, 10(4): 294-301
作者姓名:PAN Jin  JIAO Licheng  CHEN Li
作者单位:Key Laboratory of Radar Signal Processing, Xidian University, Xi' an 710071, China,Key Laboratory of Radar Signal Processing, Xidian University, Xi' an 710071, China,Key Laboratory of Radar Signal Processing, Xidian University, Xi' an 710071, China
基金项目:Project supported by the National Natural Science Foundation of china (Grant No. 69772029) and “863” project
摘    要:A multiwavelet can possesses the properties of orthogonality, symmetry, and compact support simul taneously, which is impossible for scalar wavelets. A method to determine the multiwavelets from a class of multi-scaling functions is presented using the genetic algorithm, which not only makes the guideline to find multiwavelets clearly and simplely, but also lays a foundation for the application of multiwavelets theory.

关 键 词:multiwavelet   short sequence   genetic algorithm

Construction of orthogonal multiwavelets with short sequence via genetic algorithm
AN Jin,JIAO Licheng,CHEN Li. Construction of orthogonal multiwavelets with short sequence via genetic algorithm[J]. Progress in Natural Science, 2000, 10(4): 294-301
Authors:AN Jin  JIAO Licheng  CHEN Li
Affiliation:Key Laboratory of Radar Signal Processing, Xidian University, Xi' an 710071, China,Key Laboratory of Radar Signal Processing, Xidian University, Xi' an 710071, China,Key Laboratory of Radar Signal Processing, Xidian University, Xi' an 710071, China
Abstract:A multiwavelet can possesses the properties of orthogonality, symmetry, and compact support simul taneously, which is impossible for scalar wavelets. A method to determine the multiwavelets from a class of multi-scaling functions is presented using the genetic algorithm, which not only makes the guideline to find multiwavelets clearly and simplely, but also lays a foundation for the application of multiwavelets theory.
Keywords:multiwavelet   short sequence   genetic algorithm
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