Abstract

A constrained linear predictive model, where the degrees of freedom of the predictor are reduced, is presented. It is shown that this model has the minimum-phase property and forms the basis for a convex space of polynomials with the minimum-phase property. Models presented have a wide range of potential applications, such as spectral modeling of speech and audio signals.

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