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dc.contributor.advisorTherrien, Charles W.
dc.contributor.advisorCristi, Roberto
dc.contributor.advisorYun, Xiaoping
dc.contributor.authorKoupatsiaris, Dimitrios A.
dc.dateDecember 2000
dc.date.accessioned2012-08-09T19:27:46Z
dc.date.available2012-08-09T19:27:46Z
dc.date.issued2000-12
dc.identifier.urihttp://hdl.handle.net/10945/9197
dc.description.abstractMultirate digital signal processing techniques have been developed in the recent years for a wide range of applications, such as speech and image compression, digital audio, statistical and adaptive signal processing, numerical solution of differential equations and many other fields. The purpose of this thesis is to extend optimal filtering techniques to random signals sampled at different rates. In particular, two major problems are considered: (1) optimal filtering of two sets of observations at different sampling rates as a multirate Wiener filter, and (2) linear prediction on successive samples of a random process. In the first problem it is shown that the standard Wiener filter can be extended to the multirate case, while preserving its optimality. In the second problem it is shown that multichannel linear prediction on successive samples of a process, yields orthogonal uncorrelated innovations.en_US
dc.description.urihttp://archive.org/details/analysisofmultir109459197
dc.format.extentxviii, 93 p.;28 cm.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleAnalysis of multirate random signalsen_US
dc.typeThesisen_US
dc.description.serviceHellenic Navy author.en_US
etd.thesisdegree.nameDegree of Electrical Engineeren_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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