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Proceedings Paper

Wavelet approximations for computationally efficient FM demodulation
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Paper Abstract

We present a framework for the use of stationary phase approximations to a Morlet wavelet transform as a device to generate computationally efficient algorithms for extracting modulation information in frequency modulated (FM) signals. Presented here are two specific FM estimators generated from this approach that may be implemented in terms of filter banks with very few filters.

Paper Details

Date Published: 26 March 2001
PDF: 10 pages
Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421201
Show Author Affiliations
Anthony Teolis, AIMS, Inc. (United States)
Richard Scheper, AIMS, Inc. (United States)
Bernard Adrian Frankpitt, AIMS, Inc. (United States)


Published in SPIE Proceedings Vol. 4391:
Wavelet Applications VIII
Harold H. Szu; David L. Donoho; Adolf W. Lohmann; William J. Campbell; James R. Buss, Editor(s)

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