Paper
2 March 1994 Locally-connected 2D convolution unit for analog VLSI implementation
Hua Li, Srinivas Damalcheruvu
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hua Li and Srinivas Damalcheruvu "Locally-connected 2D convolution unit for analog VLSI implementation", Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); https://doi.org/10.1117/12.169982
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KEYWORDS
Analog electronics

Convolution

Very large scale integration

Image processing

Artificial neural networks

Device simulation

Computer vision technology

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