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Proceedings Paper

Improved Backus-Gilbert method for signal reconstruction with a wavelet model
Author(s): Xiang-Gen Xia; C.-C. Jay Kuo; Bruce W. Suter
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Paper Abstract

The Backus-Gilbert (BG) method provides an algorithm for solving the moment problem. Its performance can be greatly improved by incorporating an appropriate signal model, e.g., the bandlimited signals. In this research, we introduce a practical signal model called the scale-time limited signal spaces and generalize the Backus-Gilbert (BG) method for this class of signals. Since the model proposed in this work includes general wavelet bases such as the modulated Gaussians and the Mexican hat which have simple analytic forms, the required computation can be reduced.

Paper Details

Date Published: 15 March 1994
PDF: 12 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170044
Show Author Affiliations
Xiang-Gen Xia, Air Force Institute of Technology (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)
Bruce W. Suter, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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