Adaptive algorithm for estimation of two-dimensional autoregressive fields from noisy observations
Summary: This paper deals with the problem of two-dimensional autoregressive (AR) estimation from noisy observations. The Yule-Walker equations are solved using adaptive steepest descent (SD) algorithm. Performance comparisons are made with other existing methods to demonstrate merits of the proposed method.
scientific article; zbMATH DE number 6420146