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CMOL-Based Cellular Neural Networks and Parallel Processor for Future Image Processing

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2 Author(s)
Wancheng Zhang ; State Key Lab. for Superlattices & Microstructures, Chinese Acad. of Sci., Beijing ; Nan-Jian Wu

Hybrid CMOS/molecular (CMOL) circuits are promising for future high-performance VLSIs. Recently, digital and mixed-signal CMOL-based image-processing circuits were proposed. Although these circuits have ultra-high performances, several problems exist. In this paper, CMOL-based analog cellular neural network (CNN) and digital parallel image processor is proposed. The CMOL-based CNN has high speed and good fabrication tolerance. The parallel processor has high peak performance with easy configurability.

Published in:

Nanotechnology, 2008. NANO '08. 8th IEEE Conference on

Date of Conference:

18-21 Aug. 2008