Estimation and identification for 2-D block Kalman filtering Azimi-Sadjadi, Mahmood R. This 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. Colorado State University. Libraries 1991 text ; image application/pdf ECEmra00030.pdf FACFECEN100510ARTI eng c1991 IEEE
Estimation and identification for 2-D block Kalman filtering
Azimi-Sadjadi, Mahmood R.
This 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.
Colorado State University. Libraries
1991
text ; image
application/pdf
ECEmra00030.pdf
FACFECEN100510ARTI
eng
c1991 IEEE