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Upgrading Pulse Detection with Time Shift Properties Using Wavelets and Support Vector Machines

2005/05/20 by Jaime Gomez, Ignacio Melgar, Juan Seijas
Computer Science · #cs.IR #cs.NE

paper · pdf

published as Proceedings of the World Automation Congress (WAC-04), Sevilla, Spain, June-2004 · 6 pages

arxiv created 2005/05/20 · arxiv updated 2009/12/01

Abstract

Current approaches in pulse detection use domain transformations so as to concentrate frequency related information that can be distinguishable from noise. In real cases we do not know when the pulse will begin, so we need a time search process in which time windows are scheduled and analysed. Each window can contain the pulsed signal (either complete or incomplete) and / or noise. In this paper a simple search process will be introduced, allowing the algorithm to process more information, upgrading the capabilities in terms of probability of detection (Pd) and probability of false alarm (Pfa).

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