SubjectsSubjects(version: 963)
Course, academic year 2020/2021
  
Signal Processing - AB445007
Title: Signal Processing
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2019 to 2020
Semester: summer
Points: summer s.:5
E-Credits: summer s.:5
Examination process: summer s.:
Hours per week, examination: summer s.:3/2, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: not taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
Additional information: http://uprt.vscht.cz/prochazka/pedag/SPc.htm
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.
Interchangeability : B445007, N445012, S445012
Is interchangeable with: B445007
Examination dates   Schedule   
Annotation -
The subject covers the analysis and processing of observed signals and images (http://uprt.vscht.cz/prochazka/pedag/SPc.htm). 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.
Last update: Kubová Petra (06.05.2019)
Aim of the course -

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

Last update: Kubová Petra (06.05.2019)
Course completion requirements -

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 (http://uprt.vscht.cz/prochazka/pedag/ATHENSe.htm).

Last update: Kubová Petra (06.05.2019)
Literature -

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

A:http://uprt.vscht.cz/prochazka/pedag/DSPc.htm

Last update: Kubová Petra (06.05.2019)
Requirements to the exam -

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 (http://uprt.vscht.cz/prochazka/pedag/ATHENSe.htm).

Last update: Kubová Petra (06.05.2019)
Syllabus -

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

Last update: Kubová Petra (06.05.2019)
Learning resources -

http://uprt.vscht.cz/prochazka/pedag/lectures/ATHENS_DSP.pdf

http://uprt.vscht.cz/prochazka/pedag/lectures/SP0_MATLAB_2006EN.pdf

Last update: Kubová Petra (06.05.2019)
Entry requirements -

Fundamentals of computational methods and MATLAB programming

Last update: Kubová Petra (06.05.2019)
Registration requirements -

Mathematical Methods in Engineering, Mathematics I

Last update: Kubová Petra (06.05.2019)
 
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