Asymptotically minimum variance second-order estimation for complex circular processes

  • Delmas J
  • Meurisse Y
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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.

Author-supplied keywords

  • Asymptotically minimum variance algorithms
  • Covariance matching estimation techniques
  • Frequency estimation of mixed complex circular processes
  • Second-order statistics-based algorithms

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