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An Analog-Digital Neural Processor for Integrated Sensor Conditioning

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