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6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005

dc.contributor.authorVerghese, George
dc.contributor.authorOppenheim, Alan V.
dc.coverage.temporalSpring 2004 - Spring 2005
dc.date.accessioned2018-11-06T14:40:14Z
dc.date.available2018-11-06T14:40:14Z
dc.date.issued2005-06
dc.identifier6.011-Spring2004-Spring2005
dc.identifier.other6.011
dc.identifier.otherIMSCP-MD5-70316e05dcd430c66bc56a3aa9118f60
dc.identifier.urihttp://hdl.handle.net/1721.1/118908
dc.description.abstractThis course is taken mainly by undergraduates, and explores ideas involving signals, systems and probabilistic models in the context of communication, control and signal processing applications. The material expands out from the basics in 6.003 and 6.041. The treatment involves aspects of analysis, synthesis, and optimization. Topics covered differ somewhat from semester to semester, but typically include: random processes, correlations, spectral densities, state-space modeling, multirate processing, signal estimation and detection.en
dc.language.isoen-US
dc.relation.hasversionhttp://www.core.org.cn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-011Spring2004-Spring2005/CourseHome/index.htm
dc.rightsThis site (c) Massachusetts Institute of Technology 2018. 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
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Unported*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/*
dc.subjectInput-outputen
dc.subjectstate-space modelsen
dc.subjectlinear systemsen
dc.subjectdeterministic and random signalsen
dc.subjecttime- and transform-domain representationsen
dc.subjectsamplingen
dc.subjectdiscrete-time processingen
dc.subjectcontinuous-time signalsen
dc.subjectstate feedbacken
dc.subjectobserversen
dc.subjectprobabilistic modelsen
dc.subjectstochastic processesen
dc.subjectcorrelation functionsen
dc.subjectpower spectraen
dc.subjectwhitening filtersen
dc.subjectDetectionen
dc.subjectmatched filtersen
dc.subjectLeast-mean square error estimationen
dc.subjectWiener filteringen
dc.title6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005en
dc.title.alternativeIntroduction to Communication, Control, and Signal Processingen
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.audience.educationlevelUndergraduate
dc.subject.cip090101en
dc.subject.cipCommunication Studies/Speech Communication and Rhetoricen
dc.date.updated2018-11-06T14:40:15Z


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