DocumentCode
3044073
Title
A new algorithm for one-dimensional and two-dimensional maximum entropy power spectrum estimation
Author
Lim, Jae S. ; Malik, Naveed A.
Author_Institution
Massachusetts Institute of Technology, Cambridge, MA, USA
Volume
6
fYear
1981
fDate
29677
Firstpage
1000
Lastpage
1005
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
Autocorrelation; Contracts; Entropy; Fourier transforms; Iterative algorithms; Laboratories; Nonlinear filters; Shape; Spectral analysis; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
Type
conf
DOI
10.1109/ICASSP.1981.1171111
Filename
1171111
Link To Document