Wavelet decomposition on high-performance computing systems

Author

El-Ghazawi, Tarek A. ; Moigne, Jacqueline Le

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA

Volume

2

fYear

1996

fDate

12-16 Aug 1996

Firstpage

19

Abstract

Wavelet transforms have favorable characteristics over Fourier transform. Due to the recent discovery of a fast sequential algorithm, the past years had a remarkable increase in applying Wavelets. In this paper we present and compare efficient Wavelet decomposition algorithms on parallel architectures. We report and analyze experimental measurements, using NASA remotely sensed images. The results show that the algorithms achieve significant performance gains on current parallel systems and meet applications requirements

Keywords

parallel architectures; performance evaluation; wavelet transforms; NASA remotely sensed images; Wavelet decomposition; Wavelet transforms; applications requirements; fast sequential algorithm; high-performance computing systems; parallel architectures; Discrete wavelet transforms; Earth Observing System; Fourier transforms; Image analysis; Image reconstruction; Low pass filters; NASA; Parallel architectures; Signal processing algorithms; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel Processing, 1996. Vol.3. Software., Proceedings of the 1996 International Conference on

Conference_Location

Ithaca, NY

ISSN

0190-3918

Print_ISBN

0-8186-7623-X

Type

conf

DOI

10.1109/ICPP.1996.537376

Filename

537376