By Topic

An Analog-Digital Neural Processor for Integrated Sensor Conditioning

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
N. Medrano ; Group of Electronic Design, Facultad de Ciencias, Universidad de Zaragoza, Zaragoza, Spain. ; M. T. Sanz ; P. A. Martinez ; S. Celma
more authors

In this work a CMOS neural processor is presented. Based on a mixed analog-digital architecture, the system processes data in analog current mode, using digital registers to store weights safely. The proposed processor consists of two main blocks: A mixed-signal four-quadrant multiplier and a class AB current conveyor that implements the non-linear output function. Achieved from the circuit-level simulation, the neuron system-level model is used to study the application of this architecture to tackle linearization of a magnetoresistive sensor. Simulation results show the efficiency of the new implementation.

Published in:

2006 13th IEEE International Conference on Electronics, Circuits and Systems

Date of Conference:

10-13 Dec. 2006