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FEKT-MPC-CSIAcad. year: 2019/2020
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 predictive analysis. Parametric methods for PSD calculation. Complex and real cepstra. In computer exercises students verify digital signal processing method in the Matlab environment. Numerical exercises are focused on examples of signals and systems analysis.
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Classification of course in study plans
specialization AUDM-ZVUK , 1 year of study, summer semester, compulsoryspecialization AUDM-TECH , 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
Fundamentals seminar