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FEKT-MCSIAcad. year: 2010/2011
Characteristics and classification of discrete signals and systems. Operations with signals and examples of systems. Spectral analysis using FFT. Spectrograms and moving spectra. Discrete Hilbert transform. Representation of pass-band signals.Power spectral density and its estimation. Non-parametric methods. Linear prediction analysis. Autoregression processes, moving average. Parametric methods for calculating power spectral density. Adaptive filtering. Type LMS and RLS gradient algorithms. Adaptive block filters. Decimation and interpolation. Transversal and polyphase filters. Banks of filters with perfect reconstrruction. Half-band filters. Wavelet transformation. Signal analysis with multiple resolution. Compression of audio-signals in telecommunications.
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branch M-KAM , 2 year of study, summer semester, elective interdisciplinarybranch M-MEL , 2 year of study, summer semester, elective interdisciplinarybranch M-TIT , 1 year of study, summer semester, compulsory
branch EE-FLE , 1 year of study, summer semester, compulsory
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Exercise in computer lab