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    Signals, Systems and Inference

    Signals, Systems and Inference

    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. Hypothesis testing; detection; matched filters.

    Subjects:
    Electronic and Information Engineering|Electrical Engineering
    Keywords:
    Signal processing Signal theory (Telecommunication) System analysis
    Resource Type:
    Courseware