DocumentCode
2416316
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
fYear
1991
fDate
10-12 Mar 1991
Firstpage
254
Lastpage
257
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;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1991. Proceedings., Twenty-Third Southeastern Symposium on
Conference_Location
Columbia, SC
ISSN
0094-2898
Print_ISBN
0-8186-2190-7
Type
conf
DOI
10.1109/SSST.1991.138559
Filename
138559
Link To Document