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Proceedings Paper

High-speed implementation of Gabor and Morlet wavelet filter banks using RNS frequency sampling filters
Author(s): Uwe Meyer-Baese
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Paper Abstract

Gabor and Morlet wavelet filterbanks are popular in signal and image processing because they provide good time- frequency resolutions. This paper shows how to realize efficient Gabor and Morlet wavelet filterbanks based on approximations through frequency sampling filters in the Residue Number System which provides an exact pole-zero annihilating for poles on the unit circle in the complex z- plane. The aim of the paper is that the computational 'gap' between dyadic DWT and transforms with Gabor and Morlet wavelet filterbanks becomes less dramatic.

Paper Details

Date Published: 26 March 1998
PDF: 12 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304901
Show Author Affiliations
Uwe Meyer-Baese, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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