5 September 2006 Local stationarity and time-frequency distributions
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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.
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Lorenzo Galleani, Lorenzo Galleani, Leon Cohen, Leon Cohen, Bruce Suter, Bruce Suter, } "Local stationarity and time-frequency distributions", Proc. SPIE 6313, Advanced Signal Processing Algorithms, Architectures, and Implementations XVI, 63130Z (5 September 2006); doi: 10.1117/12.684027; https://doi.org/10.1117/12.684027
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