Noncausal image modeling using descriptor approach Hasan, Mohammed A. ; Azimi-Sadjadi, Mahmood R. The problems of noncausal image modeling and subsequent image estimation are considered in this brief. The noncausal vector autoregressive (AR) model for the image process is arranged into a descriptor system. This system is then decomposed into backward and forward stable subsystems. The resulting subsystems are utilized to derive a Kalman filter by solving some types of discrete time algebraic Lyapunov equations. A numerical example for noncausal image modeling is also presented. Colorado State University. Libraries 1995 text ; image application/pdf ECEmra00037.pdf FACFECEN100517ARTI eng c1995 IEEE
Noncausal image modeling using descriptor approach
Hasan, Mohammed A. ; Azimi-Sadjadi, Mahmood R.
The problems of noncausal image modeling and subsequent image estimation are considered in this brief. The noncausal vector autoregressive (AR) model for the image process is arranged into a descriptor system. This system is then decomposed into backward and forward stable subsystems. The resulting subsystems are utilized to derive a Kalman filter by solving some types of discrete time algebraic Lyapunov equations. A numerical example for noncausal image modeling is also presented.
Colorado State University. Libraries
1995
text ; image
application/pdf
ECEmra00037.pdf
FACFECEN100517ARTI
eng
c1995 IEEE