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dc.contributor.advisorCristi, Roberto
dc.contributor.advisorFargues, Monique P.
dc.contributor.authorStevens, John Davenport.
dc.date.accessioned2012-08-09T18:47:29Z
dc.date.available2012-08-09T18:47:29Z
dc.date.issued2000-03-01
dc.identifier.urihttp://hdl.handle.net/10945/7672
dc.description.abstractDetecting short transients is a signal processing application that has a wide range of military uses. To be specific in Undersea Warfare, sensitive signal detection schemes can increase the effective range of active and passive sonar operations. Current research is being done to improve the capability of detecting short signals buried within background noise, particularly in Littoral waters. Starting with a colored noise model, this thesis will introduce two denoising methods based on multiresolution analysis and compare the results to current transient detection techniques. The goal of this thesis is not necessarily to replace current detection schemes, but rather to enhance them and thereby making the procedure more robusten_US
dc.description.urihttp://archive.org/details/detectionofshort109457672
dc.format.extentxx, 174 p.;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleDetection of short transients in colored noise by multiresolution analysisen_US
dc.typeThesisen_US
dc.description.serviceU.S. Navy (U.S.N.) author.en_US
dc.identifier.oclcocn640945660
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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