Title :
Normalized 2-D ARMA lattice parameter modeling algorithm
Author :
Kwan, Hon Keung ; Lui, Ying Chun
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
Abstract :
A Levinson-type algorithm is proposed for estimating the two-dimensional autoregressive-moving average (ARMA) model from the observed inputs and outputs of an unknown 2-D system. By applying the concept of dummy prediction errors, the algorithm can be extended for computing 2-D models of any AR-order and MA-order. It is shown that the algorithm can be greatly simplified when the input is a white process.<>
Keywords :
filtering and prediction theory; two-dimensional digital filters; 2-D models; ARMA; Levinson-type algorithm; digital filters; dummy prediction errors; lattice parameter modeling algorithm; normalised algorithm; two-dimensional autoregressive-moving average; white process; Digital filters; Equations; Indexing; Lattices; Neural networks; Predictive models; Random processes; Two dimensional displays;
Conference_Titel :
Communications, Computers and Signal Processing, 1989. Conference Proceeding., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC, Canada
DOI :
10.1109/PACRIM.1989.48379
