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Proceedings Paper

Wavelet processing workstation: an interactive MATLAB-based computational tool for wavelet processing
Author(s): Anthony Teolis; John S. Baras
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Paper Abstract

We present a highly powerful, modular, and interactive software tool for the analysis of time- frequency coherent signals via wavelet transformations. A major design goal of the Wavelet Signal Processing Workstation (WSPW) is to maximize ease of use while minimizing programming complexity. As such, the WSPW makes ample use of graphical mouse driven user interfaces and, in turn, allows powerful signal processing, classification, and identification techniques to be rapidly implemented and tested. Because it has been developed using MATLAB, the WSPW is easily extensible and inherently portable between varying system architectures. Although the emphasis of this paper is on the wavelet representation of signals, the WSPW has proven itself a valuable tool in applications including radar source identification and signal classification.

Paper Details

Date Published: 6 April 1995
PDF: 12 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205422
Show Author Affiliations
Anthony Teolis, AIMS Inc. (United States)
John S. Baras, AIMS Inc. (United States)


Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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