Title :
VLSI implementation of cellular neural network universal machine
Author :
Paasio, Ari ; Dawidziuk, Adam ; Porra, Veikko
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
In this paper a Cellular Neural Network Universal Machine structure is described. All the 19 coefficients in the 1-neighborhood can be controlled with six bit adjustability. The design has been processed with 0.8 micron CMOS technology. The cell dimensions are 114×118 μm2 including the global wiring. Both DC measurement and transient simulation results are reported in the paper
Keywords :
CMOS integrated circuits; VLSI; cellular neural nets; neural chips; 0.8 micron; CMOS technology; CNN universal machine; VLSI implementation; cellular neural network; six bit adjustability; CMOS technology; Cellular neural networks; Circuit testing; Electronic circuits; Process design; Sampling methods; Switches; Turing machines; Very large scale integration; Voltage control;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.608804
