Title :
Computationally efficient suboptimum ARMA spectral estimation
Author :
Kaveh, M. ; Bruzzone, S.P.
Author_Institution :
University of Minnesota
Abstract :
There is a great deal of interest in data-adaptive spectral estimation. The general appeal of these methods stems from the fact that their resolution is not determined by a spectral window bandwidth (which depends on the data length) as in the traditional Blackman and Tukey estimators. The method most commonly used, is the autoregressive (AR) or the maximum entropy spectral estimator.
Keywords :
Autocorrelation; Bandwidth; Difference equations; Entropy; Interference; Maximum likelihood estimation; Parameter estimation; Signal resolution; White noise; Yttrium;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1979.270085