Design of a Simple Orthogonal Multiwavelet Filter by Matrix Spectral Factorization

被引:0
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作者
Vasil Kolev
Todor Cooklev
Fritz Keinert
机构
[1] Bulgarian Academy of Sciences,Institute of Information and Communication Technologies
[2] Purdue University,Wireless Technology Center
[3] Iowa State University,Department of Mathematics
关键词
Orthogonal multiwavelets; Matrix spectral factorization; Bauer’s algorithm; Youla and Kazanjian algorithm; Lifting scheme; PLUS matrices; Alpert multiwavelet;
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摘要
We consider the design of an orthogonal symmetric/antisymmetric multiwavelet from its matrix product filter by matrix spectral factorization. As a test problem, we construct a simple matrix product filter with desirable properties and factor it using Bauer’s method, which in this case can be done in closed form. The corresponding orthogonal multiwavelet function is derived using algebraic techniques which allow symmetry to be considered. This leads to the known orthogonal multiwavelet SA1, which can also be derived directly. We also give a lifting scheme for SA1, investigate the influence of the number of significant digits in the calculations, and show some numerical experiments.
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页码:2006 / 2041
页数:35
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