Xu, Lin, authorAzimi-Sadjadi, Mahmood R., authorIEEE, publisher2007-01-032007-01-031995Xu, Lin and Mahmood R. Azimi-Sadjadi, Parameter Estimation for Two-Dimensional Vector Models Using Neural Networks, IEEE Transactions on Signal Processing 43, no. 12 (December 1995): 3090-3094.http://hdl.handle.net/10217/936This 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.born digitalarticleseng©1995 IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.parameter estimationautoregressive processesconvergence of numerical methodsimage processinglearning (artificial intelligence)least squares approximationsneural netsvectorsText