Title :
Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning
Author :
Zatorre-Navarro, G. ; Medrano-Marques, N. ; Celma-Pueyo, S.
Author_Institution :
Electron. Design Group, Zaragoza Univ.
Abstract :
The design, analysis, and system simulation of an adaptive processor based on a current-mode mixed analog-digital circuit is presented. The processor consists of a mixed four-quadrant multiplier and a current conveyor that performs the nonlinearity. Schematics, circuit parameters, and a high-level model are shown. The results achieved when applying this processor model to conditioning several sensor types are discussed
Keywords :
adaptive signal processing; current conveyors; mixed analogue-digital integrated circuits; multiplying circuits; neural net architecture; sensors; adaptive processor; current conveyor; current-mode mixed analog-digital circuit; mixed four-quadrant multiplier; mixed-mode neuron architecture; sensor conditioning; Analytical models; Arithmetic; Circuit simulation; Energy consumption; Neural network hardware; Neurons; Sensor systems; Signal processing; Temperature sensors; Voltage; Adaptive signal processing; mixed A/D integrated circuits; neural network hardware; sensor conditioning; Algorithms; Artificial Intelligence; Computing Methodologies; Neural Networks (Computer); Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2006.877535
