Improved maximum likelihood method for two-dimensional spectral estimation

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.