Asymptotically minimum variance second-order estimation for complex circular processes

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Abstract

This paper addresses asymptotically minimum variance (AMV) of parameter estimators within the class of algorithms based on second-order statistics for estimating parameter of strict-sense stationary complex circular processes. As an application, the estimation of the frequencies of cisoids for mixed spectra time series containing a sum of cisoids and an MA process is considered. © 2005 Elsevier B.V. All rights reserved.

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Delmas, J. P., & Meurisse, Y. (2006). Asymptotically minimum variance second-order estimation for complex circular processes. Signal Processing, 86(9), 2289–2295. https://doi.org/10.1016/j.sigpro.2005.10.011

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