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Proceedings Paper

Computational algorithms for discrete wavelet transform using fixed-size filter matrices
Author(s): Anna Z. Baraniecki; Salahadin O. Karim
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Paper Abstract

This paper describes matrix based algorithms for computing wavelet transform representations with application to multiresolution analysis. Structure of the algorithm presented is well suited for programming purpose and also for the implementation on VLSI processors. By using overlap-add or overlap-save techniques, constant matrix size can be used to accommodate arbitrary data lengths. Performance of the algorithm described in this paper is illustrated by decomposing an image into details and smoothed components.

Paper Details

Date Published: 9 July 1992
PDF: 12 pages
Proc. SPIE 1699, Signal Processing, Sensor Fusion, and Target Recognition, (9 July 1992); doi: 10.1117/12.138249
Show Author Affiliations
Anna Z. Baraniecki, George Mason Univ. (United States)
Salahadin O. Karim, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 1699:
Signal Processing, Sensor Fusion, and Target Recognition
Vibeke Libby; Ivan Kadar, Editor(s)

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