An ARMA spectral analysis technique based on a fast Euclidean algorithm

An approach to high resolution spectral analysis using rational signal models is presented. This technique is based on a fast Euclidean algorithm for polynomials that has a computational complexity on the order of n log/sup 2/ n. Some background material on Pade approximation and the Euclidean algorithm is presented. Some examples are presented, and the results are evaluated using the exact Cramer-Rao lower bound. This method is shown to perform well in the presence of white and colored noise.<
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