Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning

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 m...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transaction on neural networks and learning systems 2006-09, Vol.17 (5), p.1332-1335
Main Authors: Zatorre-Navarro, G., Medrano-Marques, N., Celma-Pueyo, S.
Format: Article
Language:English
Subjects:
Adaptive signal processing
Algorithms
Analytical models
Applied sciences
Arithmetic
Artificial Intelligence
Circuit simulation
Computer science
control theory
systems
Computing Methodologies
Connectionism. Neural networks
Electronics
Energy consumption
Exact sciences and technology
Hardware
mixed A/D integrated circuits
Neural network hardware
Neural Networks (Computer)
Neurons
Optical computers
Pattern Recognition, Automated - methods
sensor conditioning
Sensor systems
Signal processing
Signal Processing, Computer-Assisted
Temperature sensors
Voltage
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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
ISSN:1045-9227
2162-237X
1941-0093
2162-2388
DOI:10.1109/TNN.2006.877535