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Practical estimation of correlation functions of nonstationary Gaussian processes (Corresp.)

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1 Author(s)

The preponderance of Gaussian processes among random signals encountered in practical situations has provided the motivation for developing a practical method for the estimation of correlation functions of nonstationary Gaussian processes. The practicality of the method lies in the fact that only a single data-record is required to obtain unbiased and consistent estimates of the correlation functions, thus effectively waiving the strict requirements of the ergodic hypothesis.

Published in:

Information Theory, IEEE Transactions on  (Volume:29 ,  Issue: 6 )

Date of Publication:

Nov 1983

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