Share Email Print
cover

Proceedings Paper

Locally-connected 2D convolution unit for analog VLSI implementation
Author(s): Hua Li; Srinivas Damalcheruvu
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top