DocumentCode :
3064976
Title :
2-D non-causal systems: State space modeling for half-plane support
Author :
Hsueh, A.C. ; Mendel, J.M. ; Lashgari, B.
Author_Institution :
University of Southern California, Los Angeles, California, USA
Volume :
8
fYear :
1983
fDate :
30407
Firstpage :
403
Lastpage :
406
Abstract :
In this paper Mendel and Hsueh´s [10] state-variable modeling technique for transforming a 1-D non-causal system into a causal system is extended to 2-dimensional systems which have half-plane (HP) supports. The 2-D impulse responses treated here are restricted to a class in which their associated 2-D z-transforms have separable denominators. The final state space model is a special type of so-called Roesser´s model. It is a very low-order model, which is important from a computational point of view, when, for example, 2-D recursive estimation algorithms are applied to 2-D systems with HP supports.
Keywords :
Distortion measurement; Filters; Image processing; Recursive estimation; Seismic measurements; Signal processing; Signal processing algorithms; State-space methods; Stochastic processes; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
Type :
conf
DOI :
10.1109/ICASSP.1983.1172116
Filename :
1172116
Link To Document :
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