Title :
Properties of two-dimensional maximum entropy power spectrum estimates
Author :
Malik, Naveed A. ; Lim, Jae S.
Author_Institution :
Massachusetts Institute of Technology, Cambridge, MA
fDate :
10/1/1982 12:00:00 AM
Abstract :
In this paper we present the results of a number of experiments that have been performed to study the properties of two-dimensional maximum entropy spectral estimates. The results presented include studies on the resolution differences for real and complex data, resolution properties of the spectral estimates, and the determination of the relative power of the sinusoids from the spectral estimates. The results also include the effects of signal-to-noise ratio, size and shape of the known autocorrelation region, and data length and initial phase of a sinusoid, on the spectral estimates. In most cases studied, the properties of two-dimensional maximum entropy spectral estimates can be viewed as simple extensions of their one-dimensional counterparts.
Keywords :
Autocorrelation; Closed-form solution; Entropy; Frequency estimation; Iterative algorithms; Maximum likelihood estimation; Shape; Signal resolution; Signal to noise ratio; Spectral analysis;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1982.1163956