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SIGNALS, SYSTEMS AND INFERENCE

Description

This course covers alerts, methods and inference in communication, management and sign processing. Matters embody input-output and state-space fashions of linear methods pushed by deterministic and random alerts; time- and transform-domain representations in discrete and steady time; and group delay. State suggestions and observers. Probabilistic fashions; stochastic processes, correlation features, energy spectra, spectral factorization. Least-mean sq. error estimation; Wiener filtering. Speculation testing; detection; matched filters.


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