I am enjoying reading (a used copy of) Statistical Digital Signal Processing and Modeling by Monson Hayes.

A considerable chunk of the fourth chapter is devoted to deterministic all-pole modeling. I think that I understand the value of such deterministic models to designing filters and to synthesizing voiced speech (when the input to the all-pole filter is a deterministic pulse-train, as opposed to synthesis of unvoiced speech, when a stochastic input is used).

Are there other applications for deterministic all-pole models? I am interested in particular in applications for which the model parameters are computed repeatedly, requiring fast algorithms.



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