Parameter estimation by linear prediction in cascade form

The autocorrelation and covariance methods of linear prediction are formulated in terms of an inverse digital filter in cascade form, rather than the traditional direct form, to allow pole locations in the system model to be readily estimated. Iterative solution of the corresponding non-linear normal equations is described. Applications to speech analysis and the compensation of biomedical signals are briefly discussed.