Study Guide

Learning objectives

After the course the student knows discrete signal, especially digital filters and Fourier transformation basics of theory. He understands digital filter and spectrum analysis ways and can use MATLAB tool for simulation of digital processing problems. He can apply his signal processing knowledge in industrial and digital health applications.

Content

1. Mathematical presentation of discrete signals
2. Sampling
3. Convolution
4. FIR filter function
5. IIR filter function
6. Classical FIR filters
7. Z-transformation
8. Transfer function
9. Frequence response
10. Inverse Z-transformation
11. DFT
12. FFT
13. FIR – filter design
14. IIR – filter design
15. Phase linear filters
17. Diskrete derivator
18. Wavelet transformation
20. Realising digital filters with processors
21. FFT algorhitm realisation with the processor
22. FPGA applications

Materials

Discrete Time Signal Processing, Oppenheim.