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dc.contributor.advisorHippenstiel, Ralph D.
dc.contributor.advisorFargues, Monique P.
dc.contributor.authorRocha Pitta, Jorge Antonio Fernandes da.
dc.dateMarch 1995
dc.date.accessioned2013-08-13T22:06:20Z
dc.date.available2013-08-13T22:06:20Z
dc.date.issued1995-03
dc.identifier.urihttp://hdl.handle.net/10945/35077
dc.description.abstractThe analysis of transient signals using classical techniques is frequently not satisfactory. The Fourier analysis is based on stationarity of the signaL and transients are nonstationary. A new technique for the analysis of this type of signal, called the Wavelet Transform, was applied to artificial and real signals. A brief theoretical comparison between the Short Time Fourier Transform and the Wavelet Transform is introduced A multisolution; analysis approach for implementing the transform was used. Computer code for the Discrete Wavelet Transform was implemented. Different types of wavelets to use as basis functions were evaluated. (KAR) P. 2en_US
dc.format.extent139 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleTransient detection using wavelets [electronic resource]en_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineering
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceBrazilian Navy author.en_US
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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