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Reduction In Inter-Symbol Interference Using Linear Prolate Functions

dc.contributor.authorSoman, Sagar
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.departmentDepartment of Electrical & Computer Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerDr. W. Phillipsen_US
dc.contributor.graduate-coordinatorDr. S. Ponomarenkoen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. J. Guen_US
dc.contributor.thesis-supervisorDr. M. Cadaen_US
dc.date.accessioned2015-03-31T15:13:55Z
dc.date.available2015-03-31T15:13:55Z
dc.date.defence2015-03-23
dc.date.issued2015-03-31
dc.description.abstractIn a baseband system, the digital information signal required to be transmitted over a channel, has a wide frequency spectrum. This wide frequency spectrum gets attenuated due to the band limited response of the filters utilized for communication. This band limiting of the signal pulses, causes them to expand outward thereby interfering with each other and causing a phenomenon known as Inter-Symbol Interference. The known techniques used for avoiding this limitation have used bandwidth greater than the minimum required bandwidth for no interference given by Nyquist. The physical increase in bandwidth of the filters can cause high frequency noise to interfere with the transmitted information signal. This thesis presents an innovative way to reduce Inter-Symbol Interference in the received signal by utilising a special filter designed by using Linear Prolate Functions. The results compare the signal reconstruction capabilities of a prolate filter with those of an ideal low pass filter.en_US
dc.identifier.urihttp://hdl.handle.net/10222/56284
dc.subjectProlateen_US
dc.subjectInter-symbol Interferenceen_US
dc.subjectAliasingen_US
dc.titleReduction In Inter-Symbol Interference Using Linear Prolate Functionsen_US

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