Literature DB >> 17001992

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

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

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.

Mesh:

Year:  2006        PMID: 17001992     DOI: 10.1109/TNN.2006.877535

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  2 in total

1.  Digitally programmable analogue circuits for sensor conditioning systems.

Authors:  Guillermo Zatorre; Nicolás Medrano; María Teresa Sanz; Concepción Aldea; Belén Calvo; Santiago Celma
Journal:  Sensors (Basel)       Date:  2009-05-14       Impact factor: 3.576

2.  Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset.

Authors:  Sudarsan Sadasivuni; Monjoy Saha; Neal Bhatia; Imon Banerjee; Arindam Sanyal
Journal:  Sci Rep       Date:  2022-04-05       Impact factor: 4.379

  2 in total

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