Title :
A/D and D/A converters in a mixed-mode CNN
Author :
Laiho, Mika ; Paasio, Ari ; Kananen, Asko ; Halonen, Kari
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
In this paper A/D and D/A converters in a mixed-mode cellular neural network (CNN) are analyzed. The choice of A/D converter type is discussed and design characteristics associated with A/D converter design for a mixed-mode CNN are overviewed. A current mode successive approximation type A/D converter suitable for use in a mixed-mode CNN cell is shown. A current mode D/A converter is also shown in block level.
Keywords :
analogue-digital conversion; cellular neural nets; mixed analogue-digital integrated circuits; A/D converters; D/A converters; block level; current mode successive approximation type A/D converter; mixed-mode cellular neural network; Biological neural networks; Brain; Cellular neural networks; Electronic circuits; Energy consumption; Feedback; Laboratories; Neural networks; Polynomials; Voltage;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
DOI :
10.1109/CNNA.2002.1035081
