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Last update: Procházka Aleš prof. Ing. CSc. (25.07.2013)
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Last update: Procházka Aleš prof. Ing. CSc. (25.07.2013)
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 |
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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 A:http://uprt.vscht.cz/prochazka/pedag/DSPc.htm |
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Last update: Procházka Aleš prof. Ing. CSc. (25.07.2013)
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. (13.09.2009)
In the frame of computational laboratories it is necessary to evaluate 3 projects including mathematical analysis of methods used and their verification in the MATLAB/Simulink environment. During exam the knowledge of mathematical metods of signal and image analysis and processing is verified together with their algorithmic implementation (http://uprt.vscht.cz/prochazka/pedag/ATHENSe.htm). |
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Last update: Procházka Aleš prof. Ing. CSc. (31.01.2008)
1. Algorithmic tools of digital signal processing, fundamentals of MATLAB environment 2. Numerical, symbolic and visualization tools of MATLAB, data files processing 3. Time-domain signal representation, difference equations, selected statistical methods 4. Frequency-domain signal analysis, sampling, discrete Fourier transform, decomposition 5. Spectrum estimation, aliasing, short-time Fourier transform, window functions 6. Z-transform and system description, discrete transfer function, frequency transfer function 7. Digital filters, basic methods in the time domain, convolution, FIR filters, filter banks 8. IIR filters, basic properties, signal decimation 9. Filtering methods in frequency domain, signal reconstruction, window functions 10. Linear methods of time series modelling and prediction, SVD a QR algorthm, model selection 11. Nonlinear methods of signal processing, median filters, principles of neural networks 12. Basic methods of image analysis, 2D Fourier transform, image processing 13. Signal processing in engineering, signal prediction, Simulink environment, basic blocks 14. Biomedical signal and image processing |
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Last update: Procházka Aleš prof. Ing. CSc. (07.08.2013)
Fundamentals of MATLAB programming |
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Last update: Procházka Aleš prof. Ing. CSc. (25.07.2013)
Mathematical Methods in Engineering |
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 |