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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
DOI :
10.1109/ICASSP.1981.1171111
