Introduction to Communication, Control, and Signal Processing

Free, no sign-up neededSpring 2018English

About this course

This course examines signals, systems and inference as unifying themes in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; group delay; state feedback and observers; probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization; least-mean square error estimation…

Description from MIT OpenCourseWare.

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