Title :
ME spectral estimation for segmented time signals
Author :
Zhou, Ping ; Poularikas, A.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
Abstract :
The maximum entropy method provides an estimation of a power spectrum which maximizes the entropy of a stationary random process from consecutive data. The method is extended to handle nonconsecutive data based on Levinson´s algorithm
Keywords :
entropy; signal processing; spectral analysis; maximum entropy; nonconsecutive data; power spectrum; segmented time signals; spectral estimation; stationary random process; Autocorrelation; Entropy; Equations; Fourier series; Gaussian processes; Random processes; Sampling methods; Stochastic processes; Time measurement; White noise;
Conference_Titel :
System Theory, 1991. Proceedings., Twenty-Third Southeastern Symposium on
Conference_Location :
Columbia, SC
Print_ISBN :
0-8186-2190-7
DOI :
10.1109/SSST.1991.138559
