Introduction to Communication, Control, and Signal Processing, Spring 2004

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Author:
,
Subject:
Science and Technology
Institution Name:
M.I.T.
Collection:
MIT OpenCourseWare
Grade Level:
Post-secondary
Abstract:

Input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations. Sampling, discrete-time processing of continuous-time signals. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, and whitening filters. Detection; matched filters. Least-mean square error estimation; Wiener filtering.

Languages:
English
Material Type:
Assessments, Full Course, Syllabi
Media Format:
Text/HTML, Downloadable docs
Conditions of Use:
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Creative Commons Attribution-Noncommercial-Share Alike 3.0

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