Theoretical investigation on exact blind channel and input sequence estimation

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epageIII-36en_US
dc.citation.spageIII-33en_US
dc.citation.volumeNumberIIIen_US
dc.contributor.authorÖzdemir, A. K.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.date.accessioned2016-02-08T10:42:22Z
dc.date.available2016-02-08T10:42:22Z
dc.date.issued1999en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractRecent work on fractionally spaced blind equalizers have shown that it is possible to exactly identify the channel and its input sequence from the noise-free channel outputs. However, the obtained results are based on a set of over-restrictive constrainst on the channel. In this paper it is shown that the exact identification can be achieved in a broader class of channels.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:42:22Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1999en
dc.identifier.doi10.1109/ISCAS.1999.778778en_US
dc.identifier.issn0271-4310
dc.identifier.urihttp://hdl.handle.net/11693/25291
dc.language.isoEnglishen_US
dc.publisherIEEE, Piscataway, NJ, United Statesen_US
dc.relation.isversionofhttp://doi.org/10.1109/ISCAS.1999.778778en_US
dc.source.titleProceedings - IEEE International Symposium on Circuits and Systemsen_US
dc.subjectAlgorithmsen_US
dc.subjectCommunication channels (information theory)en_US
dc.subjectConstraint theoryen_US
dc.subjectConvergence of numerical methodsen_US
dc.subjectFIR filtersen_US
dc.subjectMathematical modelsen_US
dc.subjectParameter estimationen_US
dc.subjectProbability distributionsen_US
dc.subjectSignal filtering and predictionen_US
dc.subjectChannel output sequenceen_US
dc.subjectExact channelen_US
dc.subjectInput sequence estimationen_US
dc.subjectSignal theoryen_US
dc.titleTheoretical investigation on exact blind channel and input sequence estimationen_US
dc.typeArticleen_US

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