Program for the semester:

1. Mo - 23.9.2024 - Introduction to the Course.
   Basic properties of digital signals.

2. Mo - 30.9.2024 - Advanced time-domain signal characteristics
   Auto-correlation and cross-correlation function.

3. Mo - 7.10.2024 - Fourier transform of discrete signals.
   DTFT and DFT - basic properties. Computation algorithms - FFT, DFT of real sequence. Weighting windows.

4. Mo - 14.10.2024 - 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. Mo - 21.10.2024 - Signal and system representation in time and Z-domain.
   Z-transform. Difference equation. Impulse response and transfer function.

   Mo - 28.10.2024 - STATE HOLIDAY - Lecture is cancelled

6. Mo - 4.11.2024 - Basic and special digital filters (complex rezonator, 1st and 2nd order FIR and IIR filters, MA filters, comb filters)

7. Mo - 11.11.2024 - Properties and design of digital IIR filters (system discretization)
   Approximations. IIR filter design in MATLAB.

8. Mo - 18.11.2024 - Properties and design of FIR digital filters
   Properties. FIR filter design techniques, theory and realization in MATLAB.

9. Mo - 25.11.2024 - Digital filtering in frequency-domain.
   Implementation of linear an cyclic convolution.
   Processing of long signals. OLS and OLA techniques

10. Mo - 2.12.2024 - OLA technique with general window.
    Techniques of spectral masking, weighting, subtraction.

11. Mo - 9.12.2024 - Signal resampling. Basics of Multi-Band signal Processing
    Decimation, interpolation. Filter banks.

12. Mo - 16.12.2024 - Selected application of digital filterings and effect of quantization in digital filtering

13. Mo - 6.1.2024 - Hilbert transform. Instantaneous envelope. Demodulation.