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.

Volume

17

Issue

5

fYear

2006

Firstpage

1332

Lastpage

1335

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;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2006.877535

Filename

1687941