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

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dc.creatorGomez, Jaime
dc.creatorMelgar, Ignacio
dc.creatorSeijas, Juan
dc.date2005-05-20
dc.date.accessioned2026-07-07T03:23:01Z
dc.date.available2026-07-07T03:23:01Z
dc.descriptionCurrent 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).
dc.description6 pages
dc.identifierhttps://arxiv.org/abs/cs/0505052
dc.identifierhttp://arxiv.org/abs/cs/0505052
dc.identifierProceedings of the World Automation Congress (WAC-04), Sevilla, Spain, June-2004
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32778
dc.subjectInformation Retrieval
dc.subjectNeural and Evolutionary Computing
dc.titleUpgrading Pulse Detection with Time Shift Properties Using Wavelets and Support Vector Machines
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