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.
Ways to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2018
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Spring 2010