Title :
A new prefilter design for discrete multiwavelet transforms
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Abstract :
We propose a new prefilter design that combines the ideas of the conventional wavelet transforms and multiwavelet transforms. The prefilters are orthogonal but nonmaximally decimated. They are derived from a very natural calculation of multiwavelet transform coefficients. In this new prefilter design, multiple step discrete multiwavelet decomposition is taken into account. Our numerical examples (by taking care of the redundant prefiltering) indicate that the energy compaction ratio with the Geronimo, Hardin and Massopust (1994) 2 wavelet transform and our new prefiltering is better than the one with Daubechies D/sub 4/ wavelet transform.
Keywords :
approximation theory; band-pass filters; digital filters; filtering theory; wavelet transforms; approximation; digital filters; discrete multiwavelet transforms; energy compaction ratio; filterbank; high pass functions; low pass property; multiple step discrete multiwavelet decomposition; multiwavelet transform coefficients; nonmaximally decimated prefilters; orthogonal prefilters; prefilter design; redundant prefiltering; Compaction; Decoding; Design methodology; Discrete transforms; Discrete wavelet transforms; Engineering profession; Equations; Filter bank; Performance gain; Signal resolution;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.680538