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

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

2005-05-20

arxiv.org/abs/cs/0505052v1

Proceedings of the World Automation Congress (WAC-04), Sevilla, Spain, June-2004

Computer Science

Information Retrieval

6 pages

Scientific paper

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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