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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISIT.1998.708847
DC FieldValue
dc.titleIterative sequence estimation using unconstrained state space
dc.contributor.authorAlexander, P.D.
dc.contributor.authorGrant, A.J.
dc.date.accessioned2014-11-28T04:59:53Z
dc.date.available2014-11-28T04:59:53Z
dc.date.issued1998
dc.identifier.citationAlexander, P.D., Grant, A.J. (1998). Iterative sequence estimation using unconstrained state space. IEEE International Symposium on Information Theory - Proceedings : 242-. ScholarBank@NUS Repository. https://doi.org/10.1109/ISIT.1998.708847
dc.identifier.isbn0780350006
dc.identifier.issn21578095
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/112342
dc.description.abstractIterative sequence estimation complexity for concatenated finite state machines may be reduced if one of the constituent FSMs is linear and an appropriate vector space can be defined. © 1998 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ISIT.1998.708847
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCENTRE FOR WIRELESS COMMUNICATIONS
dc.description.doi10.1109/ISIT.1998.708847
dc.description.sourcetitleIEEE International Symposium on Information Theory - Proceedings
dc.description.page242-
dc.description.codenPISTF
dc.identifier.isiut000075932800240
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