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FEKT-NCSIAcad. year: 2013/2014
Definition and classification of 1D and 2D discrete signals and systems. Signal and system examples. Spectral analysis using FFT. Spectrograms and moving spectra. The Hilbert transform. Representation of bandpass signals. Decimation and interpolation. Transversal and polyphase filters. Filter banks with perfect reconstruction. Quadrature mirror filters (QMF). The wavelet transform. Signal analysis with multiple resolution. Stochastic variables and processes, mathematical statistics. Power spectral density (PSD) and its estimation. Non-parametric methods for PSD calculation. Linear prediction analysis. Parametric methods for PSD calculation. Complex and real cepstra. In computer exercises students verify digital signal processing method in the Matlab environment in real time.
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branch MN-MEL , 1 year of study, summer semester, elective interdisciplinarybranch MN-TIT , 1 year of study, summer semester, compulsorybranch MN-KAM , 1 year of study, summer semester, elective interdisciplinary
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Exercise in computer lab