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Proceedings Paper

Local stationarity and time-frequency distributions
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Paper Abstract

We use time-frequency distributions to define local stationarity of a random process. We argue that local stationarity is achieved when the Wigner spectrum is approximately factorable. We show that when that is the case the autocorrelation function is the one considered by Silverman in 1957. Other time-frequency representations are also considered.

Paper Details

Date Published: 5 September 2006
PDF: 5 pages
Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130Z (5 September 2006);
Show Author Affiliations
Lorenzo Galleani, City Univ. of New York (United States)
Leon Cohen, City Univ. of New York (United States)
Bruce Suter, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6313:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVI
Franklin T. Luk, Editor(s)

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