Paper data
Title:
Asymptotically minimum variance second-order estimation of frequencies for mixed spectra time series Author(s): Delmas Jean-Pierre, INT-Evry Meurisse Yann, INT-Evry Page numbers in the proceedings: Volume III pp 437-440 Session: Spectral Estimation
Paper abstract
This paper addresses asymptotically minimum variance (AMV) algorithms in the class of algorithms based on second-order statistics for estimating frequencies of mixed complex circular processes. To reduce the computational complexity due to the nonlinear minimization required by the matching approach, the covariance matching estimation techniques (COMET) is included in the algorithm. Numerical examples illustrate the performance of the AMV algorithm.
Paper
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