Digital Signal Processing

The course is not on the list Without time-table
Code Completion Credits Range Language
AE8B32DSP Z,ZK 5 3P + 1L English
Department of Telecommunications Engineering

This subject is focused upon basics in the digital signal processing, systems and methods for digital signal processing.


Knowledge from lectures, 100% participation in exercises, successful completion of the test.

Syllabus of lectures:

1. Overview of signals discrete in time in time domain and in frequency domain

2. Transforms with finite support (DFT, DCT)

3. Z transform

4. Linear time invariant systems discrete in time in domain and in transformed domain

5. Structures of digital filters

6. Design of FIR filters, advanced approximations

7. Design of IIR filters

8. Sampling of 2D Signals

9. 2-D and m-D transforms

10. Design of 2-D and m-D digital filters

11. Finite word length, analysis

12. Basics of multirate digital signal processing

13. Multirate filter banks and wavelets

14. Spectral analysis, windows

Syllabus of tutorials:

1. Matlab - creation of m-files, generation of signals, analysis of simple digital structures, visualization in the time domain.

2. Examples from the field of discrete signals and systems in the time domain.

3. Examples of calculation of Fourier transformation using Matlab., calculation of frequency response and phase, generation of signals, their visualization.

4. Convolution, deconvolution, system response.

5. Factorization of FIR and IIR transfer functions, parallel implementation, cascade implementation.

6. Systems with finite word length, calculation examples, applications.

7. Design of digital FIR filters using Matlab, window function.

8. Design of 1D and 2D systems. Sampling, interpolation and decimation of signals.

9. IIR filter design using Matlab, approximation, stability.

10. 1D and 2D FIR filter design

11. Multirate Digital Signal Processing – design and implementation, resampling.

12. Multirate Digital Signal Processing.

13. Credit test.

Study Objective:

To deepen students' theoretical knowledge of mathematics in the field of signal processing and to acquire knowledge for the design of FIR and IIR filters, implementation methods including implementation of filter banks.

Study materials:

1. Sanjit K. Mitra, Digital Signal Processing, 4th Edition, McGraw-Hill, 2010

2. Boaz Porat: A course in Digital signal processing, John Wiley 1997

Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2022-09-29
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