Paper
5 April 1995 Compact receivers and smart-pixel chips for optical interconnects and signal processing
Wai-Chi Fang, Bing J. Sheu, Sa H. Bang
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wai-Chi Fang, Bing J. Sheu, and Sa H. Bang "Compact receivers and smart-pixel chips for optical interconnects and signal processing", Proc. SPIE 2400, Optoelectronic Interconnects III, (5 April 1995); https://doi.org/10.1117/12.206322
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Cited by 1 scholarly publication.
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KEYWORDS
Receivers

Annealing

Transistors

Signal processing

Optical arrays

Neurons

Optoelectronics

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