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Proceedings Paper

Locally-connected 2D convolution unit for analog VLSI implementation
Author(s): Hua Li; Srinivas Damalcheruvu
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Paper Abstract

Analog VLSI Implementation of artificial neural networks for vision applications is studied in this paper. A locally connected, regular structure for 2D convolution is proposed for high speed image processing. First, a mathematical formulation is given to map the convolution to analog computing domain. Then a system level design is performed together with the design and the testing of the basic building blocks. Experiments using real laboratory images are conducted.

Paper Details

Date Published: 2 March 1994
PDF: 8 pages
Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); doi: 10.1117/12.169982
Show Author Affiliations
Hua Li, Texas Tech Univ. (United States)
Srinivas Damalcheruvu, Texas Tech Univ. (United States)

Published in SPIE Proceedings Vol. 2243:
Applications of Artificial Neural Networks V
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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