NDLI: Subspace system identification of separable-in-denominator 2-D stochastic systems

Content Provider	IEEE Xplore Digital Library
Author	Ramos, J.A. Lopes dos Santos, P.J.
Copyright Year	2011
Description	Author affiliation: Nova Southeastern University, Farquhar College of Arts and Sciences, Division of Mathematics, Science, and Technology, 3301 College Avenue, Fort Lauderdale, FL 33314, USA (Ramos, J.A.) \|\| Faculdade de Engenharia da Universidade do Porto, Departamento de Engenharia Electrotécnica e de Computadores, Rua Dr. Roberto Frias, Portugal 4200 465 (Lopes dos Santos, P.J.)
Abstract	The fitting of a causal dynamic model to an image is a fundamental problem in image processing, pattern recognition, and computer vision. There are numerous other applications that require a causal dynamic model, such as in scene analysis, machined parts inspection, and biometric analysis, to name only a few. There are many types of causal dynamic models that have been proposed in the literature, among which the autoregressive moving average (ARMA) and state-space models are the most widely known. In this paper we introduce a 2-D stochastic state-space system identification algorithm for obtaining stochastic 2-D, causal, recursive, and separable-in-denominator (CRSD) models in the Roesser state-space form. The algorithm is tested with a real image and the reconstructed image is shown to be almost indistinguishable to the true image.
Starting Page	1491
Ending Page	1496
File Size	475071
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6161291
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hafnium Stochastic processes Mathematical model Equations Covariance matrix Technological innovation Autoregressive processes
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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