Linear prediction applied to time varying all pole signals

An improved linear predictive coding scheme is proposed that allows for some adaptation of the analysis time interval according to the signal's stationarity properties. A fixed short time interval is used for analysis and the intervals are concatenated when the signal has stationary statistics over successive intervals. A "speech-like" all pole signal with time varying parameters is analyzed using autocorrelation and covariance lattice methods. The accuracy with which the model matches the actual signal is examined in terms of coefficient variation and Markel and Gray's spectral difference measure.