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This version of SharkBytes has been archived as of February 28, 2019. To search through archived articles, visit nova.edu/search. To access the new version of SharkBytes, visit sharkbytes.nova.edu.
Next Mathematics Colloquium Series Lecture to Look at Two-Dimensional Stochastic Systems, Nov. 16
As part of the Mathematics Colloquium Series—hosted by the Farquhar College of Arts and Sciences Division of Math, Science, and Technology—Jose Ramos, Ph.D., associate professor in the college, will present a talk titled, “Subspace System Identification of 2-D Stochastic Systems.” The event will take place on Wednesday, Nov. 16, from noon to 1:00 p.m., in the Alvin Sherman Library, room 3015.
Presentation 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. Among the most widely known are the autoregressive moving average (ARMA) and state-space models.
In this talk, Ramos will introduce a two-dimensional 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 the classical Lena image, and the image reconstructed with the 2-D model is shown to be almost indistinguishable from the true image.
The lecture is free and open to the public.
For more information on this lecture or the college’s Mathematics Colloquium Series, contact Vehbi Paksoy, Ph.D., or Iuliana Stanculescu, Ph.D.