5 September 2006 Local stationarity and time-frequency distributions
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lorenzo Galleani, Leon Cohen, 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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