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6.441 Transmission of Information, Spring 2003

dc.contributor.authorZheng, Lizhongen_US
dc.contributor.authorMédard, Murielen_US
dc.coverage.temporalSpring 2003en_US
dc.date.issued2003-06
dc.identifier6.441-Spring2003
dc.identifierlocal: 6.441
dc.identifierlocal: IMSCP-MD5-4dc6f367f4138476793f967a7726407c
dc.identifier.urihttp://hdl.handle.net/1721.1/61661
dc.description.abstract6.441 offers an introduction to the quantitative theory of information and its applications to reliable, efficient communication systems. Topics include: mathematical definition and properties of information; source coding theorem, lossless compression of data, optimal lossless coding; noisy communication channels, channel coding theorem, the source-channel separation theorem, multiple access channels, broadcast channels, Gaussian noise, and time-varying channels.en_US
dc.languageen-USen_US
dc.relationen_US
dc.rights.uriUsage Restrictions: This site (c) Massachusetts Institute of Technology 2010. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.en_US
dc.subjecttransmission of informationen_US
dc.subjectquantitative theory of informationen_US
dc.subjectefficient communication systemsen_US
dc.subjectmathematical definition of informationen_US
dc.subjectproperties of informationen_US
dc.subjectsource coding theoremen_US
dc.subjectlossless compression of dataen_US
dc.subjectoptimal lossless codingen_US
dc.subjectnoisy communication channelsen_US
dc.subjectchannel coding theoremen_US
dc.subjectthe source-channel separation theoremen_US
dc.subjectmultiple access channelsen_US
dc.subjectbroadcast channelsen_US
dc.subjectgaussian noiseen_US
dc.subjecttime-varying channelsen_US
dc.subjectlossless data compressionen_US
dc.subjecttelecommunicationsen_US
dc.subjectdata transmissionen_US
dc.subjectInformation theoryen_US
dc.title6.441 Transmission of Information, Spring 2003en_US
dc.title.alternativeTransmission of Informationen_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science


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