Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/4283
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dc.contributorElias, Peter.-
dc.date2004-03-02T18:54:32Z-
dc.date2004-03-02T18:54:32Z-
dc.date1968-
dc.date.accessioned2013-10-09T02:34:51Z-
dc.date.available2013-10-09T02:34:51Z-
dc.date.issued2013-10-09-
dc.identifier460-
dc.identifierhttp://hdl.handle.net/1721.1/4283-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionReprinted from IEEE transactions on information theory, vol. IT-13, no.3, July 1967.-
dc.descriptionBibliography: p. 501.-
dc.formatp. 493-501-
dc.format1892581 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMIT Research Laboratory of Electronics-
dc.relationTechnical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; 460.-
dc.subjectTK7855.M41 R43 no.460-
dc.subjectRandom noise theory-
dc.subjectFeedback control systems-
dc.titleNetworks of Gaussian channels with applications to feedback systems.-
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