High-speed implementation of Gabor and Morlet wavelet filter banks using RNS frequency sampling filters

Uwe Meyer-Baese

doi:10.1117/12.304901

26 March 1998 High-speed implementation of Gabor and Morlet wavelet filter banks using RNS frequency sampling filters

Uwe Meyer-Baese

Author Affiliations +

Proceedings Volume 3391, Wavelet Applications V; (1998) https://doi.org/10.1117/12.304901
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Uwe Meyer-Baese "High-speed implementation of Gabor and Morlet wavelet filter banks using RNS frequency sampling filters", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304901

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