Noncausal Image Modeling Using Descriptor Approach

Mohammed A. Hasan, Mahmood R. Azimi-Sadjadi

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


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 Liapunov equations. A numerical example for noncausal image modeling is also presented.

Original languageEnglish (US)
Pages (from-to)536-540
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Issue number8
StatePublished - Aug 1995


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