2005•Unpublished venueRequires access

Improved maximum likelihood method for two-dimensional spectral estimation

Jae S. Lim, Farid Dowla

Abstract

In this paper, we present a new method for two-dimensional spectral estimation. This method is based on the extension of the relationship that exists between the maximum likelihood method and the maximum entropy method for one-dimensional signals to two-dimensional signals. This method has a computational requirement similar to that of the maximum likelihood method, but has a resolution property which is considerably better than that of the maximum likelihood method. Examples are shown to illustrate the performance of the new algorithm.

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Available abstract

Key concepts: Maximum likelihood, Principle of maximum entropy, Maximum likelihood sequence estimation, Maximum entropy spectral estimation, Maximum entropy method, Extension (predicate logic), Algorithm, Estimation theory