Instructor(s)
Prof. Alan V. Oppenheim
Prof. George Verghese
MIT Course Number
6.011
As Taught In
Spring 2010
Level
Undergraduate
Course Description
Course Features
Course Highlights
This course features a complete set of course notes, Signals, Systems and Inference.
Course Description
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.
Other Versions
Other OCW Versions
OCW has published multiple versions of this subject.
Archived versions: