DocumentCode :
2429667
Title :
Explicit construction of compactly supported biorthogonal multiwavelets based on the matrix extension
Author :
Cen, Yi-Gang ; Cen, Li-Hui
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing
fYear :
2008
fDate :
7-11 June 2008
Firstpage :
336
Lastpage :
341
Abstract :
Polyphase matrix extension of the scaling vector functions plays an important role in the construction of compactly supported biorthogonal multiwavelets. However, the involved computations are rather complex, and there is no unified, direct formula available so far. In this paper, by studying the canonical forms and the product preserving transformations of the polyphase matrices, an abstract algebraic approach for the matrix extension problem is proposed. More important, explicit formulas for the construction problem are represented via the submatrices of the polyphase matrices of scaling vector functions directly. Furthermore, complete solution set can be obtained from these explicit formulas via product preserving transformations. Computational examples demonstrate that by using the explicit formulas, our matrix extension algorithm is direct and effective.
Keywords :
functions; matrix algebra; vectors; wavelet transforms; abstract algebraic approach; biorthogonal multiwavelet construction; matrix product preserving transformation; polyphase matrix extension problem; scaling vector function; Automation; Biomedical signal processing; Equations; Helium; Information science; Interpolation; Low pass filters; Neural networks; Signal processing algorithms; Symmetric matrices; Compactly supported biorthogonal multiwavelets; abstract algebraic approach; canonical form; polyphase matrix extension; product preserving transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
Type :
conf
DOI :
10.1109/ICNNSP.2008.4590368
Filename :
4590368
Link To Document :
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