Non-stationary learning characteristics of adaptive lattice filters

This paper presents the results of a preliminary experimental examination of the response of an adaptive lattice-structure prediction-error filter to non-stationary inputs. The lattice-structure examined in this study uses the standard gradient method to continuously implement Burg's harmonic-mean algorithm. The results show a basic relationship between filter response, depth and rate of modulation, and filter adaptive constant and order.