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6.441 Transmission of Information, Spring 2003

Author(s)
Zheng, Lizhong; Médard, Muriel
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Download6-441-spring-2003/contents/index.htm (15.06Kb)
Alternative title
Transmission of Information
Terms of use
Usage 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.
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Abstract
6.441 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.
Date issued
2003-06
URI
http://hdl.handle.net/1721.1/61661
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Other identifiers
6.441-Spring2003
local: 6.441
local: IMSCP-MD5-4dc6f367f4138476793f967a7726407c
Keywords
transmission of information, quantitative theory of information, efficient communication systems, mathematical definition of information, 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, time-varying channels, lossless data compression, telecommunications, data transmission, Information theory

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