Azimi-Sadjadi, Mahmood R., authorIEEE, publisher2007-01-032007-01-031991Azimi-Sadjadi, Mahmood R., Estimation and Identification for 2-D Block Kalman Filtering, IEEE Transactions on Signal Processing 39, no. 8 (August 1991): 1885-1889.http://hdl.handle.net/10217/933This correspondence is concerned with the development of a recursive identification and estimation procedure for 2-D block Kalman filtering. The recursive identification scheme can be used on-line to update the image model parameters at each iteration based upon the local statistics within a block of the observed noisy image. The covariance matrix of the driving noise can also be estimated at each iteration of this algorithm. A recursive procedure is given for computing the parameters of the higher order models. Simulation results are also provided.born digitalarticleseng©1991 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.Kalman filtersadaptive filterspicture processingidentificationfiltering and prediction theoryparameter estimationText