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Proceedings Paper

Improved radon-transform-based method to quantify local stationarity
Author(s): Robert A. Hedges; Bruce W. Suter
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Paper Abstract

Establishing measures for local stationarity is an open problem in the field of time-frequency analysis. One promising theoretical measure, known as the spread, provides a means for quantifying potential correlation between signal elements. In this paper we investigate the issue of generalizing techniques developed by the authors to better estimate the spread of a signal. Existing techniques estimate the spread as the rectangular region of support of the associated expected ambiguity function oriented parallel to the axes. By applying Radon Transform techniques we can produce a parameterized model which describes the orientation of the region of support providing tighter estimates of the signal spread. Examples are provided that illustrate the enhancement of the new method.

Paper Details

Date Published: 13 November 2000
PDF: 8 pages
Proc. SPIE 4116, Advanced Signal Processing Algorithms, Architectures, and Implementations X, (13 November 2000); doi: 10.1117/12.406512
Show Author Affiliations
Robert A. Hedges, Air Force Research Lab. (United States)
Bruce W. Suter, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 4116:
Advanced Signal Processing Algorithms, Architectures, and Implementations X
Franklin T. Luk, Editor(s)

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