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Proceedings Paper

Compact receivers and smart-pixel chips for optical interconnects and signal processing
Author(s): Wai-Chi Fang; Bing J. Sheu; Sa H. Bang
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Paper Abstract

A continuous-time shift-invariant cellular neural network (CNN) with hardware annealing capability, digitally programmable synaptic weights, and optical inputs/outputs has been developed. This electro-optical neurocomputing processor has great potential in solving many important scientific problems in signal processing and optimization. Advanced packaging for the proposed optoelectronic neurocomputing system is a thin-film silicon-substrate multichip module with flip-chip connection technologies. This paper presents two functional chips designed for the proposed electro-optical neurocomputing processor: a monolithic GaAs 2-D array of optical receivers, and a VLSI CMOS 2-D array of smart pixels based on the annealed CNN. Due to the multichip module integration of these chips in the same silicon substrate, a complete optoelectronics neurocomputing system can be realized in a very compact hardware.

Paper Details

Date Published: 5 April 1995
PDF: 12 pages
Proc. SPIE 2400, Optoelectronic Interconnects III, (5 April 1995); doi: 10.1117/12.206322
Show Author Affiliations
Wai-Chi Fang, Jet Propulsion Lab. (United States)
Bing J. Sheu, Univ. of Southern California (United States)
Sa H. Bang, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 2400:
Optoelectronic Interconnects III
Ray T. Chen; Harvard Scott Hinton, Editor(s)

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