DocumentCode
1095774
Title
A new algorithm for two-dimensional maximum entropy power spectrum estimation
Author
Lim, Jae S. ; Malik, Naveed A.
Author_Institution
Massachusetts Institute of Technology, Cambridge, MA, USA
Volume
29
Issue
3
fYear
1981
fDate
6/1/1981 12:00:00 AM
Firstpage
401
Lastpage
413
Abstract
A new iterative algorithm for the maximum entropy power spectrum estimation is presented in this paper. The algorithm, which is applicable to two-dimensional signals as well as one-dimensional signals, utilizes the computational efficiency of the fast Fourier transform (FFT) algorithm and has been empirically observed to solve the maximum entropy power spectrum estimation problem. Examples are shown to illustrate the performance of the new algorithm.
Keywords
Computational efficiency; Entropy; Fast Fourier transforms; Frequency estimation; Iterative algorithms; Monitoring; Radar signal processing; Signal processing algorithms; Spectral analysis; Speech processing;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/TASSP.1981.1163583
Filename
1163583
Link To Document