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FEKT-NMZSAcad. year: 2014/2015
Formalised optimum filtering and signal restoration in unified view: Wiener filter in clasical formulation and generalised discrete Wiener-Levinson filter, Kalman filtering; source modelling and signal restoration, further approaches. Adaptive filtering and identification, algorithms of adaptation, classification of typical applications of adaptive filtering. Neural networks - error-backpropagation networks, feed-back networks, self-organising networks, and their application in signal processing and classification. Non-linear filtering - polynomial and ranking filters, homomorphic filtering and deconvolution, non-linear matched filters. Typical applications of the above methods.
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Offered to foreign students
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Specification of controlled education, way of implementation and compensation for absences
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branch MN-BEI , 1 year of study, summer semester, elective specialisedbranch MN-EST , 1 year of study, summer semester, elective interdisciplinary
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Exercise in computer lab