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

(Complete Item Description)

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.

Subject:: Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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Top Keywords

Computer Sciences Continuous-Time Signals Correlation Functions Detection Deterministic and Random Signals Discrete-Time Processing Electrical Engineering Input/output Least-Mean Square Error Estimation Linear Systems Matched Filters Observers Power Spectra Probabilistic Models Sampling State Feedback State-space Models Stochastic Processes Time- and Transform-Domain Representations Whitening Filters Wiener Filtering

Conditions of Use

No Strings Attached
Remix and Share
Share Only
Read the Fine Print

No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.

Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.

Your redistributing comes with some restrictions. Do not remix or make derivative works.

Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.

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