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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1016/j.proeng.2016.11.491</dc:identifier><dc:language>eng</dc:language><dc:creator>Martinez-Nieto, A.</dc:creator><dc:creator>Sanz-Pascual, M.T.</dc:creator><dc:creator>Marquez, A.</dc:creator><dc:creator>Perez-Bailon, J.</dc:creator><dc:creator>Calvo, B.</dc:creator><dc:creator>Medrano, N.</dc:creator><dc:title>A CMOS Mixed Mode Non-Linear Processing Unit for Adaptive Sensor Conditioning in Portable Smart Systems</dc:title><dc:identifier>ART-2016-106037</dc:identifier><dc:description>This paper presents the architecture of a novel non-linear digitally programmable analog unit for sensor output conditioning in battery-operated smart systems. Designed in an 180nm 1.8V standard CMOS technology, by properly setting the 6-bit registers in the arithmetic unit, the voltage inputs are weighted before being processed by a non-linear circuit. Thus, a processing system consisting of a set of these devices suitably tuned and interconnected can be applied to condition a non-linear sensor, improving its behavior both in linearity and operating range, while reducing the effects of cross sensitivity. The robustness of the digital weight tuning is tested simulating a chip-on-the-loop training using a Levenberg-Marquardt-based algorithm. Electric simulations of the proposed unit and the results of its application in a complete neural network-based processing system to improve the linear operating range of a thermistor are presented.</dc:description><dc:date>2016</dc:date><dc:source>http://zaguan.unizar.es/record/70670</dc:source><dc:doi>10.1016/j.proeng.2016.11.491</dc:doi><dc:identifier>http://zaguan.unizar.es/record/70670</dc:identifier><dc:identifier>oai:zaguan.unizar.es:70670</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MINECO-FEDER/TEC2015-65750-R</dc:relation><dc:identifier.citation>Procedia Engineering 168 (2016), 1689-1692</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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