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A System to Simulate Differential Equations for Image Processing
Intelligent Engineering System through Artificial Neural Networks
  • Sean Barton
  • Louis McCarthy
  • John Grider
  • Robert S. Woodley, Missouri University of Science and Technology
  • Levent Acar, Missouri University of Science and Technology
Abstract

A system for simulating a large number of differential equations in a short period of time was needed to quickly process video for an image recognition device. This system can be realized using DSP (Digital Signal Processing) chips in parallel and controlling them with a memory manager. The memory manager divides the work among the DSPs and then gathers up the solutions for the host computer. Even though this system is designed primarily for image processing, the differential equation simulation could be expanded to include a wide range of non-linear partial differential equations (PDE). The system has a high degree of parallelism and is easily expandable.

Meeting Name
Artificial Neural Networks in Engineering Conference, ANNIE 2002 (2002: Nov. 10-13, St. Louis, MO)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
  • DSP,
  • Digital Signal Processing,
  • Image Recognition Device,
  • Differential equations
International Standard Book Number (ISBN)
0-7918-0191-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2002 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
11-1-2002
Publication Date
01 Nov 2002
Citation Information
Sean Barton, Louis McCarthy, John Grider, Robert S. Woodley, et al.. "A System to Simulate Differential Equations for Image Processing" Intelligent Engineering System through Artificial Neural Networks Vol. 12 (2002)
Available at: http://works.bepress.com/levent-acar/1/