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Optimal time-frequency kernels for spectral estimation of locally stationary processes

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2 Author(s)
P. Wahlberg ; Dept. of Electroscience, Lund Univ., Sweden ; M. Hansson

This paper investigates the mean square error optimal time-frequency kernel for estimation of the Wigner-Ville spectrum of a certain class of nonstationary processes. The class of locally stationary processes have a simplified covariance structure which facilitates analysis. We give a formula for the optimal kernel in the ambiguity domain and conditions that are sufficient for the optimal time-frequency kernel to he a continuous function, decaying at infinity.

Published in:

Statistical Signal Processing, 2003 IEEE Workshop on

Date of Conference:

28 Sept.-1 Oct. 2003