Title :
Very fast programmable CNN based on FG-inverter
Author :
Molinar-Solis, Jesus E. ; Gomez-Castenada, F. ; Moreno-Cadenas, Jose A. ; Ponce-Ponce, Victor H.
Author_Institution :
Electron. Lab., Mexico-State Autonomous Univ., Estado De Mexico
Abstract :
In this paper, a different CNN implementation based on floating-gate inverters is presented. The methodology adjusts the original CNN model in order to incorporate a floating-gate inverter and reduce hardware complexity. The approach brings a fast response compatible with standard digital circuits. Eight different processing tasks were tested on a 4times4 CNN prototype fabricated on AMI 1.2 micron through MOSIS
Keywords :
CMOS integrated circuits; cellular neural nets; circuit complexity; invertors; programmable circuits; 1.2 micron; AMI; CNN implementation; CNN prototype; FG-inverter; MOSIS; cellular neural network; floating-gate inverters; hardware complexity; programmable CNN; standard digital circuits; Capacitance; Cellular neural networks; Clocks; Energy consumption; Hardware; Image processing; Inverters; MOSFETs; Switches; Voltage;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1693437
