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dc.contributor.authorCasey, Stephen D.en_US
dc.date.accessioned2007-05-23T10:01:57Z
dc.date.available2007-05-23T10:01:57Z
dc.date.issued1996en_US
dc.identifier.urihttp://hdl.handle.net/1903/5773
dc.description.abstractThe problem recovering information from single component linear translation invariant systems is inherently ill-posedness may be circumvented in a multichannel system if the components of the system satisfy the strongly coprime condition. The signal may be completely recovered from a strongly coprime system by filtering the output of each channel with a deconvolver, and adding. This approach has been labeled multichannel deconvolution.<P>We explore the state of the art for the multichannel theory. We then use sampling theory to develop an alternative method for creating these systems. Modulation techniques are then used to create a strongly coprime system, for which the corresponding deconvolvers are developed. We close by discussing several applications of the theory.en_US
dc.format.extent1700834 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1996-54en_US
dc.subjectimage processingen_US
dc.subjectsignal processingen_US
dc.subjectinverse problemsen_US
dc.subjectconvolution equationsen_US
dc.subjectdeconvolutionen_US
dc.subjectinterpolationen_US
dc.subjectsamplingen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleModulation and Sampling Techniques for Multichannel Deconvolutionen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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