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Last update: Fialová Jana (15.01.2018)
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Last update: Fialová Jana (15.01.2018)
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 |
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Last update: Fialová Jana (15.01.2018)
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 |
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Last update: Fialová Jana (15.01.2018)
http://uprt.vscht.cz/prochazka/pedag/lectures/ATHENS_DSP.pdf
http://uprt.vscht.cz/prochazka/pedag/lectures/SP0_MATLAB_2006EN.pdf |
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Last update: Procházka Aleš prof. Ing. CSc. (14.02.2018)
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). |
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Last update: Fialová Jana (15.01.2018)
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 |
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Last update: Fialová Jana (15.01.2018)
Fundamentals of computational methods and MATLAB programming |
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Last update: Fialová Jana (15.01.2018)
Mathematical Methods in Engineering, Mathematics I |
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Last update: Procházka Aleš prof. Ing. CSc. (14.02.2018)
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). |
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 |