SubjectsSubjects(version: 916)
Course, academic year 2019/2020
Signal Processing - N445012
Title: Zpracování signálů
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2009 to 2019
Semester: winter
Points: winter s.:5
E-Credits: winter s.:5
Examination process: winter s.:
Hours per week, examination: winter s.:3/2, C+Ex [HT]
Capacity: 30 / 30 (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
For type:  
Additional information:
Note: course can be enrolled in outside the study plan
enabled for web enrollment
Guarantor: Procházka Aleš prof. Ing. CSc.
Švihlík Jan doc. Ing. Ph.D.
Is interchangeable with: AB445007, B445007
Examination dates   Schedule   
Annotation -
Last update: TAJ445 (14.12.2013)
The subject covers the analysis and processing of observed signals and images ( Basic mathematical methods include diskrete Fourier transform and selected numerical methods including the use of difference equations for rejection of undesirable signal components. Algoritmic tools assume the use of the MATLAB environment. Projects include the application of selected methods for biomedical data analysis and environmental signal processing.
Aim of the course -
Last update: TAJ445 (30.09.2013)

Students will be able to

(i) to use MATLAB computational environment for data processing,

(ii) to analyze time series and images by the discrete Fourier transform,

(iii) to apply digital filters in time and frequency domains

(iv) to apply methods of digital signal processing for real data analysis

Literature -
Last update: TAJ445 (30.09.2013)

R:T. Bose: Digital Signal and Image Processing, Wiley, 2004

R:J. Uhlíř, P. Sovka, Číslicové zpracování signálů, Vydavatelství ČVUT, 2002

A:J. Jan, Číslicová filtrace, analýza a restaurace signálů, BEN 2004


Learning resources -
Last update: Procházka Aleš prof. Ing. CSc. (25.07.2013)

Requirements to the exam -
Last update: Procházka Aleš prof. Ing. CSc. (13.09.2009)

In the frame of computational laboratories it is necessary to evaluate 3 projects including the verification of programs proposed in the MATLAB/Simulink environment. During exam the knowledge of the theoretical background of digital signal processing is verified together with their algorithmic implementation (

Syllabus -
Last update: Procházka Aleš prof. Ing. CSc. (05.08.2006)

1. Signal and image description, sampling, applications

2. Discrete Fourier transform, basic properties, visualization

3. Short time Fourier transform, interpretation, application

4. Window functions, spectrum estimation, convolution

5. Signal and image decomposition and reconstruction, spectum modification

6. Principles of digital filters, system description by difference equations

7. Statistical methods of signal processing, histograms, corelation

8. Block oriented methods of signal and image processing

9. Time series description and processing, signal prediction

10. Real signal and image acquisition, Simulink and signal processing

11. Fundamentals of wavelet transforms

12. Image coding, analysis and visualization

13. Computational intelligence and adaptive methods, principles of neural networks

14. Applications of signal and image processing

Entry requirements -
Last update: Procházka Aleš prof. Ing. CSc. (25.07.2013)

Fundamentals of computational methods and MATLAB programming

Registration requirements -
Last update: Procházka Aleš prof. Ing. CSc. (25.07.2013)

Mathematical Methods in Engineering, Mathematics I

Teaching methods
Activity Credits Hours
Konzultace s vyučujícími 0,5 14
Účast na přednáškách 1 28
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi 0,5 14
Práce na individuálním projektu 1 28
Příprava na zkoušku a její absolvování 1 28
Účast na seminářích 1 28
5 / 5 140 / 140
Coursework assessment
Form Significance
Regular attendance 30
Report from individual projects 30
Oral examination 40