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dc.contributor.advisorHippenstiel, Ralph
dc.contributor.advisorFargues, Monique P.
dc.contributor.authorPayal, Yalçin
dc.date1995-12
dc.date.accessioned2013-04-12T16:52:06Z
dc.date.available2013-04-12T16:52:06Z
dc.date.issued1995-12
dc.identifier.urihttps://hdl.handle.net/10945/30740
dc.descriptionThe views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government.en_US
dc.description.abstractThe main objective of this study is to find a wavelet-based, feature extracting algorithm for push-to-talk transmitter identification. A distance-measure algorithm is introduced to classify signals belonging to one of four transmitters. The signals are first preprocessed to put them into a form suitable for wavelet analysis. The preprocessing scheme includes taking the envelopes and differentials. Median filtering is also applied to the outputs of the wavelet transform. The distance algorithm uses local extrema of the wavelet coefficients, and computes the distance between the local extrema of a template and the processed signals. A small distance implies high similarity . A signal from each transmitter is selected as a template. A small distance measure indicates that the signal belongs to the transmitter from which the template originated. The distance algorithm can classify correctly the four different signal sets provided for the research. Even at lower signal-to-noise levels, good identification is achieved.en_US
dc.description.sponsorshipNaval Postgraduate School, Monterey, CA.en_US
dc.description.urihttp://archive.org/details/identificationof1094530740
dc.format.extentvii, 75 p. ; 28 cmen_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subjectWavelet Transformen_US
dc.subjectLocal extremaen_US
dc.subjectEuclidean Distance Measureen_US
dc.titleIdentification of Push-to-Talk Transmitters Using Waveletsen_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.description.serviceLieutenant Junior Grade, Turkish Navyen_US
etd.thesisdegree.nameMaster of Science in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate School (U.S.)en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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