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dc.contributor.advisorPace, Phillip
dc.contributor.authorLeino, Richard E.
dc.dateSeptember, 1996
dc.date.accessioned2013-04-30T22:07:08Z
dc.date.available2013-04-30T22:07:08Z
dc.date.issued1996-09
dc.identifier.urihttp://hdl.handle.net/10945/32261
dc.description.abstractTwo algorithms are presented which allow for the unambiguous resolution of multiple undersampled frequency components in a signal. Digital signal processing is usually governed by the Nyquist criterion which limits the amount of information that can be unambiguously stored and recovered digitally to a spectral width no larger than half the sampling frequency. Both algorithms resolve a spectrum beyond Nyquist by using additional information. The first method samples a signal more than once using a different sampling frequency each time. The second method utilizes a single sampling frequency which is used to sample both the signal and a band-limited version of the signal. When using multiple sampling frequencies, each sampling frequency yields a digital sequence which, in turn, has a unique spectrum when the Discrete Fourier Transform (DFT) is applied. The bin and amplitude information from each of the resulting undersampled spectra is then recombined to resolve the original spectrum. In like manner, when using a single sampling frequency the spectra of both the signal and its band-limited version are recombined to obtain the solution. Given a sampling frequency, both algorithms allow for the unambiguous resolution of a signal with a spectral width at least twice as large as that predicted by Nyquist.en_US
dc.description.urihttp://archive.org/details/useofsymmetrical1094532261
dc.format.extentxiv, 68 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.titleUse of the symmetrical number system in resolving undersampling aliasesen_US
dc.typeThesisen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Marine Corps (U.S.M.C.) authoren_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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