Decomposed predictive transform estimation

A novel design and implementation decompositions are found to arise for a minimum mean squared error (MMSE) linear predictive transform (LPT) estimator when certain symmetry conditions are satisfied by the first- and second-order statistics used to design the estimator. This results in a decomposed LPT estimator whose design and implementation computational effort is significantly less than that of the original estimator.<
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