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Proceedings Paper

High-performance wavelet engine
Author(s): Fred J. Taylor; Jonathon D. Mellot; Erik Strom; Iztok Koren; Michael P. Lewis
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Paper Abstract

Wavelet processing has shown great promise for a variety of image and signal processing applications. Wavelets are also among the most computationally expensive techniques in signal processing. It is demonstrated that a wavelet engine constructed with residue number system arithmetic elements offers significant advantages over commercially available wavelet accelerators based upon conventional arithmetic elements. Analysis is presented predicting the dynamic range requirements of the reported residue number system based wavelet accelerator.

Paper Details

Date Published: 1 November 1993
PDF: 12 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162076
Show Author Affiliations
Fred J. Taylor, Univ. of Florida (United States)
Jonathon D. Mellot, Univ. of Florida (United States)
Erik Strom, Univ. of Florida (United States)
Iztok Koren, Univ. of Florida (United States)
Michael P. Lewis, Athena Group (United States)

Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)

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