Analysis and simulation of a mixed-mode neuron architecture for sensor conditioning

Guillermo Zatorre-Navarro; Nicolás Medrano-Marqués; Santiago Celma-Pueyo

doi:10.1109/TNN.2006.877535

Analysis and simulation of a mixed-mode neuron architecture for sensor conditioning

IEEE Trans Neural Netw. 2006 Sep;17(5):1332-5. doi: 10.1109/TNN.2006.877535.

Authors

Guillermo Zatorre-Navarro, Nicolás Medrano-Marqués, Santiago Celma-Pueyo

PMID: 17001992
DOI: 10.1109/TNN.2006.877535

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.

Publication types

Letter
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artificial Intelligence
Computing Methodologies
Neural Networks, Computer*
Pattern Recognition, Automated / methods*
Signal Processing, Computer-Assisted*