Course detail

Digital Signal Processing

CESA-SCZSAcad. year: 2022/2023

Properties of discrete and digital methods of signal processing, advantages and drawbacks. Linear signal filtering, digital filters of FIR and IIR types, design and realisation. Averaging methods of enhancement of signal in noise. Complex signals and their application, modulation and frequency trasnlation. Correlation and spectral analysis of deterministic and stochastic signals, identification of systems. Detection, inverse filtering and restoration of distorted signals in noise.

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.

Learning outcomes of the course unit

The graduate of the course
- has a good insight into the theory of digital methods of signal processing and analysis,
- is capable of assessing suitability of a particular method for a given practical task,
- has the basic application skills for implementation of these methods.


Knowledge of elements of signal and system theory, mathematics on Bc level


Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations. Techning methods include lectures and computer laboratories . Course is taking advantage of e-learning (Moodle) system.

Assesment methods and criteria linked to learning outcomes

Requirements for completion of a course are elaborated by the lecturer responsible for the course every year;
- obtaining at least 12 points (out of 24 as course-unit credit based on active presence in demonstration exercises),
- successful passing of final written exam (up to 76 points)

Course curriculum

1. Classification of discrete methods of signal processing, properties and applications
2. Linear filtering - FIR filters 1
3. Linear filtering - FIR filters 2
4. Linear filtering - IIR filters 1
5. Linear filtering - IIR filters 2
6. Averaging of signals
7. Complex signals and analytic filters
8. Spectrum translation of signals
9. Correlation analysis of signals - estimation methods of the correlation function
10. Correlation analysis of signals - applications
11. Spectral analysis of deterministic signals
12. Spectral analysis of stochastic signals
13. Inverse filtering and principles of signal restoration

Work placements

Not applicable.


To provide basic theoretical knowledge and practical experience in the area of digital signal processing, analysis and restoration

Specification of controlled education, way of implementation and compensation for absences

computer labs

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

J. JAN: Digital Signal Filtering, Analysis and Restoration. IEE Publishing, London, UK, 2000 (EN)
J.JAN: Číslicová filtrace, analýza a restaurace signálů (druhé rozsírené vydání),VUTIUM Brno, 2002 (CS)

Recommended reading

Not applicable.


Classification of course in study plans

  • Programme BPC-STC Bachelor's, 2. year of study, winter semester, compulsory

Type of course unit


Laboratory exercise

39 hours, compulsory

Teacher / Lecturer