Title :
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
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;
Conference_Titel :
Parallel Processing, 1996. Vol.3. Software., Proceedings of the 1996 International Conference on
Conference_Location :
Ithaca, NY
Print_ISBN :
0-8186-7623-X
DOI :
10.1109/ICPP.1996.537376
