Delmas, Jean-Pierre; Meurisse, Yann Asymptotically minimum variance second-order estimation for complex circular processes. (English) Zbl 1172.94397 Signal Process. 86, No. 9, 2289-2295 (2006). Summary: 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. MSC: 94A12 Signal theory (characterization, reconstruction, filtering, etc.) 62F10 Point estimation Keywords:asymptotically minimum variance algorithms; covariance matching estimation techniques; frequency estimation of mixed complex circular processes; second-order statistics-based algorithms PDFBibTeX XMLCite \textit{J.-P. Delmas} and \textit{Y. Meurisse}, Signal Process. 86, No. 9, 2289--2295 (2006; Zbl 1172.94397) Full Text: DOI HAL