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