標題: The Design and Analysis of a CMOS Low-Power Large-Neighborhood CNN With Propagating Connections
作者: Wu, Chung-Yu
Chen, Sheng-Hao
電機學院
College of Electrical and Computer Engineering
關鍵字: Cellular neural networks (CNNs);CMOS;large-neighborhood (LN);propagating connections
公開日期: 1-二月-2009
摘要: The design of a large-neighborhood cellular nonlinear network (LN-CNN) with propagating connections is proposed. The propagating connections are utilized to achieve large-neighborhood templates in the shape of diamonds. Based on the propagating connections, each LN-CNN cell can only be connected to neighboring cells without interconnections to farther cells. Thus, it is suitable for very large scale integration implementation. The LN-CNN functions of diffusion, deblurring, and Muller-Lyer illusion are successfully verified. Meanwhile, the functions of erosion and dilation are expanded with the diamond-shaped LN templates. Furthermore, the simple N- and P-type synapses stop all the static current paths so that the do power dissipation can be reduced to only 0.7 mW on standby and 18 mW in operation. An experimental LN-CNN chip with a 20 x 20 array has been fabricated using 0.18-mu m CMOS technology. With the proposed LN-CNN chip, more applications and LN-CNN templates can be studied further.
URI: http://dx.doi.org/10.1109/TCSI.2008.2002115
http://hdl.handle.net/11536/7661
ISSN: 1549-8328
DOI: 10.1109/TCSI.2008.2002115
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Volume: 56
Issue: 2
起始頁: 440
結束頁: 452
顯示於類別:期刊論文


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