DocumentCode :
1640649
Title :
The design of compactly supported orthonormal wavelets with integer scaling factors
Author :
Lazar, Michael S. ; Bruton, Leonard T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
fYear :
1992
Firstpage :
323
Lastpage :
326
Abstract :
It has been shown that discrete-time orthonormal wavelet decompositions are related to lossless perfect reconstruction (PR) multirate filter banks except that such filters are not generally designed with wavelet regularity considerations in mind. The authors present a method, based on the design of M-band PR filters, to generate orthonormal wavelets with arbitrary integer scaling factor M, such that the wavelets are regular and the corresponding PR filters have good stop- and pass-band responses. Applications for such filters include the analysis of signals with arbitrary scaling, such as fractals
Keywords :
band-pass filters; band-stop filters; filtering and prediction theory; wavelet transforms; M-band PR filters; compactly supported orthonormal wavelets; discrete-time orthonormal wavelet decompositions; integer scaling factors; lossless perfect reconstruction; multirate filter banks; pass-band responses; stop-band responses; Band pass filters; Channel bank filters; Continuous wavelet transforms; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Signal analysis; Signal resolution; Virtual manufacturing; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
Type :
conf
DOI :
10.1109/TFTSA.1992.274173
Filename :
274173
Link To Document :
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