ADC FUNCTIONAL TESTING USING ARTIFICIAL IMMUNE SYSTEMS

Cleonilson Protásio de Souza, Cláudio Leão Torres, Raimundo C. S. Freire, Francisco M. de Assis

Abstract

Artificial immune systems have been considered one of the most promising nature-inspired technique used for novelty detection systems, optimization, identification, etc. One of the main tools of these systems is the Negative-Selection Algorithm that is based on the natural self-nonself discrimination which has made possible the body distinguish any foreign cell from the body's self cell. In this work, it is used the Negative-Selection Algorithm to perform functional testing of analog-to-digital converter. In this way, the evaluation of the converter is performed by a set of immune-based detectors which can detect faulty output responses. Using the immune-based detector set, experimental results have been shown the effectiveness of the proposed method.

Keywords

ADC, functional testing, artificial immune systems, negative-selection algorithm

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IMEKO-WC-2009-TC4-483.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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