Sequential algorithm for identification of parameters of an autoregressive process

Abstract
An algorithm for the sequential identification of the parameters of a stationary process described by an autoregressive (AR) model is presented. A set of parameters obtained by a transformation of the AR model is introduced which leads to certain computational advantages. An example is presented to illustrate the use of the algorithms.

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