Title :
On the Envelope of Spectral Power of Stochastic Processes
Author :
Shankwitz, Craig ; Georgiou, Tryphon T.
Author_Institution :
Department of Electrical Engineering, University of Minnesota, Minneapolis, MN 55455, U.S.A.
Abstract :
Given a partial covariance sequence of a real stationary zero-mean stochastic process, one method of estimating the power spectrum is that of Maximum Likelihood. The Maximum Likelihood estimate represents an envelope of maximum spectral content corresponding to stochastic processes which may be complex. We determine the envelope of spectral content which is consistent with the assumption that the underlying stochastic process is real.
Keywords :
Distribution functions; Eigenvalues and eigenfunctions; Frequency; Interpolation; Maximum likelihood estimation; Polynomials; Stochastic processes; Video recording; Virtual colonoscopy; Writing;
Conference_Titel :
American Control Conference, 1991
Conference_Location :
Boston, MA, USA
Print_ISBN :
0-87942-565-2