BE2M31DSPA - Digital Signal Processing - SCHEDULE OF LECTURES
Winter semester 2026/2027

  1. Fr - 25.9.2026 - Introduction to the Course.
    Basic properties of digital signals.

  2. Fr - 2.10.2026 - Advanced time-domain signal characteristics
    Auto-correlation and cross-correlation function.

  3. Fr - 9.10.2026 - Fourier transform of discrete signals.
    DTFT and DFT - basic properties. Computation algorithms - FFT, DFT of real sequence. Weighting windows.

  4. Fr - 16.10.2026 - Spectral Analysis of Stochastic and Non-Stationary Signals
    Short-time and long-time characteristics. Power spectrum. PSD - Power Spectral Density.
    Signal periodicity in frequency domain.

  5. Fr - 23.10.2026 - Signal and system representation in time and Z-domain.
    Z-transform. Difference equation. Impulse response and transfer function.

  6. Fr - 30.10.2026 - Basic and special digital filters (complex rezonator, 1st and 2nd order FIR and IIR filters, MA filters, comb filters)

  7. Fr - 6.11.2026 - Properties and design of digital IIR filters (system discretization)
    Approximations. IIR filter design in MATLAB.

  8. Fr - 13.11.2026 - Properties and design of FIR digital filters
    Properties. FIR filter design techniques, theory and realization in MATLAB.

    Fr - 20.11.2026 - CANCELED - Deans day

  9. Fr - 27.12.2026 - Digital filtering in frequency-domain.
    Implementation of linear an cyclic convolution.
    Processing of long signals. OLS and OLA techniques

  10. Fr - 4.12.2026 - OLA technique with general window.
    Techniques of spectral masking, weighting, subtraction.

  11. Fr - 11.12.2026 - Signal resampling. Basics of Multi-Band signal Processing
    Decimation, interpolation. Filter banks.

  12. Fr - 18.12.2026 - Selected application of digital filterings and effect of quantization in digital filtering

  13. Fr - 8.1.2027 - Hilbert transform. Instantaneous envelope. Demodulation.
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