DocumentCode :
2794868
Title :
A current-mode CMOS cellular neural network
Author :
Varrientos, J.E. ; Ramirez-Angulo, J. ; Sanchez-Sinencio, Edgar
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
1990
fDate :
12-14 Aug 1990
Firstpage :
277
Abstract :
A CMOS circuit implementation of a cellular neural network is discussed. The implementation is reminiscent of classical cellular automata and has been designed for image processing. Software has been developed that models cell dynamics directly from state and output equations. To verify the proposed approach, an 8 by 9 prototype network circuit has been implemented for edge detection and sent to MOSIS for fabrication
Keywords :
CMOS integrated circuits; computerised picture processing; neural nets; CMOS circuit implementation; MOSIS; cell dynamics; cellular neural network; current-mode technology; edge detection; image processing; output equations; Cellular neural networks; Circuits; Equations; Fabrication; Image edge detection; Image processing; Process design; Prototypes; Semiconductor device modeling; Software prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
Type :
conf
DOI :
10.1109/MWSCAS.1990.140706
Filename :
140706
Link To Document :
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