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- W2168510959 abstract "This paper shows how the sampling theorem relates with the variations along time of the second order statistics of L 2 (R) non stationary processes. As a consequeRl; �, and minly ?�e toe positive semidefiniteness of autocorrelati? R funCtions, . It IS POSI ble to conclude if a nonstationary process IS locally staboRluy (u., if its second order statistics vary slowly along time) by the direct observation of its 2-dimension power spectrum or its Wigner dis tribution. A simple example iIIustRltes how two different strategies for the estimation of autocorre lation functions from a small num ber of data can lead to opposite results in terms oflocal stationarity." @default.
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- W2168510959 date "2002-01-01" @default.
- W2168510959 modified "2023-09-27" @default.
- W2168510959 title "UOCAL STATIONARITY OF L2(R) PROCESSES" @default.
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