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Last update: Pátková Vlasta (19.11.2018)
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Last update: Pátková Vlasta (19.11.2018)
Students will know how
(i) to analyze time series and images by discrete Fourier and wavelet transforms,
(ii) to use z-transform for discrete systems description,
(iii) to apply digital filters in time and frequency domains,
(iv) to use digital signal processing methods for real data analysis
(v) to propose computational environment for analysis of real (biomedical) data |
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Last update: Pátková Vlasta (19.11.2018)
Signal and system description, z-transform, multidimensional signal analysis, discrete Fourier transform, digital filters, wavelet transform, image analysis and processing, visualization, 3D modelling |
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Last update: Jahoda Milan doc. Dr. Ing. (29.11.2018)
http://uprt.vscht.cz/prochazka/pedag/ lectures/ATHENS_DSP.pdf
T. Bose: Digital Signal and Image Processing, Wiley, 2004
Vaseghi S.V.: Multimedia Signal Processing, Wiley, 2007
WIKIBOOK: Signals and Systems, https://en.wikibooks.org/wiki/Signals_and_Systems, 2018 |
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Last update: Jahoda Milan doc. Dr. Ing. (29.11.2018)
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: Pátková Vlasta (19.11.2018)
Lectures and practical verification of proposed algorithms in the computer laboratory. |
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Last update: Pátková Vlasta (19.11.2018)
During studies of this subject it is necessary either to submit the own paper using signal and image processing methods in the area of own research or to evaluate three projects devoted to specific signal and image processing problems and their solution in MATLAB. |
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Last update: Pátková Vlasta (19.11.2018)
1. Fundamentals of computational, programming and visualization system MATLAB / SIMULINK 2. Computational intelligence in signal processing 3. Description of signals and systems, Z-transform 4. Solution of difference equations, discrete and frequency transfer functions, stability 5. Spectral analysis, discrete Fourier transform, windowing 6. The short time Fourier transform, analysis of multidimensional signals 7. Discrete Wavelet transform 8. Digital filters in time and frequency domains 9. Description of filters, construction 10. Rejection of noise signal components 11. Adaptive methods of signal processing, computational intelligence 12. CASE STUDY 1: Spectral analysis in signal analysis 13. CASE STUDY 2: Digital filters 14. CASE STUDY 3: Image analysis |
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Last update: Pátková Vlasta (19.11.2018)
none |
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Last update: Pátková Vlasta (19.11.2018)
none |
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Last update: Pátková Vlasta (19.11.2018)
Participation on the final colloquium with the presentation and discussion of a selected research topic. |