Optimum Signal Linear Detector in the Discrete Wavelet Transform-Domain

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dc.creatorMelgar, Ignacio
dc.creatorGomez, Jaime
dc.creatorSeijas, Juan
dc.date2005-05-18
dc.date.accessioned2026-07-07T08:17:47Z
dc.date.available2026-07-07T08:17:47Z
dc.descriptionThe problem of known signal detection in Additive White Gaussian Noise is considered. In this paper a new detection algorithm based on Discrete Wavelet Transform pre-processing and threshold comparison is introduced. Current approaches described in [7] use the maximum value obtained in the wavelet domain for decision. Here, we use all available information in the wavelet domain with excellent results. Detector performance is presented in Probability of detection curves for a fixed probability of false alarm.
dc.description6 pages
dc.identifierhttps://arxiv.org/abs/cs/0505046
dc.identifierhttp://arxiv.org/abs/cs/0505046
dc.identifierWSEAS Transactions on Communications, ISSN 1109-2742, issue 3, vol 2, p253-258, July-2003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/134211
dc.subjectInformation Theory
dc.subjectInformation Retrieval
dc.titleOptimum Signal Linear Detector in the Discrete Wavelet Transform-Domain
dc.typetext

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