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Reconstruction of Stochastic Processes Using Frames

dc.contributor.authorGillis, J.T.en_US
dc.date.accessioned2007-05-23T09:47:23Z
dc.date.available2007-05-23T09:47:23Z
dc.date.issued1991en_US
dc.identifier.urihttp://hdl.handle.net/1903/5062
dc.description.abstractThis note discusses sampling in a general context and shows that the (dual) frame reconstruction formula holds for stochastic processes, in quadratic mean. Specifically we show that if the covariance can be reconstructed using frames then the sample path can also be reconstructed. The application of the result for the generation of approximate sample paths for simulation is discussed. Ergodic properties of the approximate estimators are also investigated.en_US
dc.format.extent742439 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1991-14en_US
dc.subjectsignal processingen_US
dc.subjectstochastic systemsen_US
dc.subjectCommunication en_US
dc.subjectSignal Processing Systemsen_US
dc.titleReconstruction of Stochastic Processes Using Framesen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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