Signals, Systems and Inference
6.011 · Electrical Engineering and Computer Science · Undergraduate · Spring 2018
Prof. George Verghese, Prof. Alan V. Oppenheim, Prof. Peter Hagelstein
This course covers signals, systems and inference 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; and group delay. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization. Least-mean square error estimation; Wiener filtering. Hypo…
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Prof. George Verghese, Prof. Alan V. Oppenheim, Prof. Peter Hagelstein. 6.011 Signals, Systems and Inference. Spring 2018. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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