DocumentCode :
1752803
Title :
Research on Hardware Implementation and Application of Programmable Cellular Neural Network Based on SET
Author :
Liu, Hechao ; Li Cai ; Wang, Sen ; Wang, Jinde
Author_Institution :
Inst. of Sci., Air Force Eng. Univ., Xi´´an
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
2796
Lastpage :
2800
Abstract :
This paper presents a hardware implementation of programmable of CNN based on SET. The main building blocks including cell core circuit, A and B template circuits are designed. Then a CNN and its application in image processing are built and studied. The computer simulation results show that the designed circuits are suitable for CNN implementation because of simple structure, low power dissipation, good frequency property. The model designed makes it convenient and flexible in image processing
Keywords :
cellular neural nets; image processing; low-power electronics; network synthesis; single electron transistors; cell core circuit; circuit design; circuit structure; hardware implementation; image processing; power dissipation; programmable cellular neural network; single-electron transistor; template circuits; Application software; Bismuth; Cellular neural networks; Circuits; Computer simulation; Electronic mail; Image processing; Neural network hardware; Single electron transistors; Very large scale integration; Single-Electron Transistor; cellular neural network; image processing; programmable template;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712874
Filename :
1712874
Link To Document :
بازگشت