Parameter estimation for two-dimensional vector models using neural networks Xu, Lin ; Azimi-Sadjadi, Mahmood R. This correspondence addresses the problem of two-dimensional (2-D) vector image model parameter estimation using a new recursive least squares (RLS)-based learning method. Vector autoregressive (AR) models with various 1-D and 2-D, causal and noncausal regions of support (ROS) are considered. Numerical results are presented which demonstrate the usefulness of the proposed scheme for on-line implementation. Colorado State University. Libraries 1995 text ; image application/pdf ECEmra00039.pdf FACFECEN100519ARTI eng c1995 IEEE
Parameter estimation for two-dimensional vector models using neural networks
Xu, Lin ; Azimi-Sadjadi, Mahmood R.
This correspondence addresses the problem of two-dimensional (2-D) vector image model parameter estimation using a new recursive least squares (RLS)-based learning method. Vector autoregressive (AR) models with various 1-D and 2-D, causal and noncausal regions of support (ROS) are considered. Numerical results are presented which demonstrate the usefulness of the proposed scheme for on-line implementation.
Colorado State University. Libraries
1995
text ; image
application/pdf
ECEmra00039.pdf
FACFECEN100519ARTI
eng
c1995 IEEE