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dc.contributor.authorHippenstiel, Ralph Dieter
dc.date1993-11
dc.date.accessioned2013-02-27T23:22:49Z
dc.date.available2013-02-27T23:22:49Z
dc.date.issued1993-11
dc.identifier.urihttp://hdl.handle.net/10945/28680
dc.descriptionApproved for public release; distribution is unlimited.en_US
dc.description.abstractThis report investigates the use of Bi-spectral related techniques to extract detection/classification clues from time frequency representations. Earlier results have indicated that 1.5-D spectral techniques (a degenerate version of the Bi-spectrum) has potential Signal to Noise Ratio (SNR) gain over conventional techniques. This is partially due to the rejection of Gaussian like perturbations by the cumulant based techniques. The third order moment for Gaussian zero mean random processes is essentially zero. It is assumed that (1) the independence of the Instantaneous Power Spectrum (IPS) from analytic signal representations and (2) the Gaussian character of the noise causes minimal distortion of the output vaxiables, hence permit signal characterization at low to moderate SNRs. The per rm ce is demonstrated on (1) synthetic signals and (2) on segment(s) of the NOSC data set.en_US
dc.description.sponsorshipNaval Command Control & Ocean Surveillance Centeren_US
dc.description.urihttp://archive.org/details/analysisusingbis00hipp
dc.format.extenti, 57 p. : ill. ; 28 cm.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.subject.lcshGAUSSIAN NOISEen_US
dc.titleAnalysis Using Bi-spectral Related Techniqueen_US
dc.typeReporten_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.subject.authorSpectral Estimationen_US
dc.subject.authorInstantaneous Spectrumen_US
dc.subject.authorBi-spectrumen_US
dc.subject.authorCumulant Based Spectrumen_US
dc.subject.authorDetectionen_US
dc.description.funderNaval Command Control & Ocean Surveillance Centeren_US
dc.identifier.oclcocn640498359
dc.identifier.npsreportNPS-EC-93-020


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