6.011 Introduction to Communication, Control, and Signal Processing, Spring 2004 - Spring 2005
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6-011-spring-2004-spring-2005/contents/index.htm
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Checksum (MD5)
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Author(s)
Verghese, George
Oppenheim, Alan V.
Alternative Title
Introduction to Communication, Control, and Signal Processing
Date Issued
June 2005
Abstract
This 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.
Subjects
Input-output
state-space models
linear systems
deterministic and random signals
time- and transform-domain representations
sampling
discrete-time processing
continuous-time signals
state feedback
observers
probabilistic models
stochastic processes
correlation functions
power spectra
whitening filters
Detection
matched filters
Least-mean square error estimation
Wiener filtering
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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