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Sensors 2019, 19(8), 1814; https://doi.org/10.3390/s19081814

High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks

1
Electronics Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Puebla 72840, Mexico
2
Group of Electronic Design (GDE), University of Zaragoza, 50009 Zaragoza, Spain
*
Author to whom correspondence should be addressed.
Received: 15 March 2019 / Revised: 9 April 2019 / Accepted: 12 April 2019 / Published: 16 April 2019
(This article belongs to the Section Physical Sensors)
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Abstract

For current microelectronic integrated systems, the design methodology involves different steps that end up in the full system simulation by means of electrical and physical models prior to its manufacture. However, the higher the circuit complexity, the more time is required to complete these simulations, jeopardizing the convergence of the numerical methods and, hence, meaning that the reliability of the results are not guaranteed. This paper shows the use of a high-level tool based on Matlab to simulate the operation of an artificial neural network implemented in a mixed analog-digital CMOS process, intended for sensor calibration purposes. The proposed standard tool enables modification of the neural model architecture to adapt its characteristics to those of the electronic system, resulting in accurate behavioral models that predict the complete microelectronic IC system behavior under different operation conditions before its physical implementation with a simple, time-efficient, and reliable solution. View Full-Text
Keywords: Artificial Neural Networks; CMOS ASICs; embedded systems; circuit simulation; high-level modeling Artificial Neural Networks; CMOS ASICs; embedded systems; circuit simulation; high-level modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Martínez-Nieto, J.A.; Medrano-Marqués, N.; Sanz-Pascual, M.T.; Calvo-López, B. High-Level Modeling and Simulation Tool for Sensor Conditioning Circuit Based on Artificial Neural Networks. Sensors 2019, 19, 1814.

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