Introduction to Communication, Control, and Signal Processing, Spring 2010
(Complete Item Description)
- Abstract:
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; Wiener filtering; hypothesis testing; detection; matched filters.
- Subject:
- Science and Technology
- Grade Level:
- Post-secondary
- Collection:
- MIT OpenCourseWare
