Title :
A new method for 2-D AR model parameter estimation
Author :
Zeinali, M. ; Shafiee, M.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol. (Tehran Polytech.), Tehran, Iran
Abstract :
This paper presents a new method for two dimensional (2-D) autoregressive (AR) model parameters estimation. Based on Levinson-Durbin method, a new approach is extended for 2-D series, and for this purpose, an algorithm is presented. The presented method preserves in the 2-D case advantages of Levinson-Durbin such as recursive and online estimation similar 1-D case. This approach is illustrated by a numerical example.
Keywords :
autoregressive processes; parameter estimation; recursive estimation; series (mathematics); 1D case; 2D AR model parameter estimation; 2D series; Levinson-Durbin method; recursive estimation; two dimensional autoregressive model; Boundary conditions; Computational modeling; Equations; Estimation; Mathematical model; Parameter estimation; Signal processing algorithms; autoregressive model; parameter estimation; time series; two dimensional;
Conference_Titel :
Control, Instrumentation, and Automation (ICCIA), 2013 3rd International Conference on
Conference_Location :
Tehran
DOI :
10.1109/ICCIAutom.2013.6912848
