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*** Czech Technical University *** Czech Institute of Informatics, Robotics and Cybernetics Supported by EU Socrates Programme *** University of Chemistry and Technology *** Department of Computing and Control Engineering Digital Signal and Image Processing Research Group Prof. Ing. Aleš Procházka, CSc |
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| Day | BLOCK A 9:00-12:00 |
BLOCK B 13:00-14:30 |
BLOCK C 14:30-16:00 |
Text | Case Study Projects |
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| Monday 18-November 2019 |
Lecture: Introduction to signal processing, algorithmization in the MATLAB environment, visualization, programming tools,
structured arrays, selected methods of data processing, linear algebra, the least square method, approximation and interpolation
Prof. A. Procházka |
Lecture: Z-transform, difference equations, system description
Prof. A. Procházka |
Case Study 1: DSP in environmental engineering: Spatial modelling of air pollution data Ing. M.Mudrová, PhD |
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| Tuesday 19-November 2019 |
Lecture: Discrete Fourier transform, properties, frequency components detection,
short time Fourier transform, window functions, applications Prof. A. Procházka |
Case Study 2: DSP in prediction of energy consumption Prof. A. Procházka |
Excursion to Digital Signal Processing Laboratory, UCT Sleep, breathing and motion analysis Ing.M.Schätz |
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| Wednesday 20-November 2019 |
Lecture: Digital filtering using difference equations, FIR and IIR filters, frequency domain filtering Prof. A. Procházka Case Study 3: DSP in biomedical signal and image processing Prof. A. Procházka |
Excursion to Czech Institute of Informatics, Robotics and Cybernetics, CTU Prof. A. Procházka |
Visit of the |
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| Thursday 21-November 2019 |
Lecture: Signal and image analysis, discrete Wavelet transform, basic definitions, signal decomposition, de-noising, reconstruction Prof. A. Procházka Projects: DSP in signal and image processing |
Seminar in CTU, CIIRC, B670, Part 1 News in MATLAB programming MathWorks, Humusoft |
Part II Deep and Reinforced Learning in MATLAB MathWorks, Humusoft |
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| Friday 22-November 2019 |
Lecture: Computational intelligence, artificial neural networks, biomedical data processing, analysis of sport activities, smart cities, signal processing for robotic systems and computer vision History and Interdisciplinary Applications of Digital Signal and Image Processing Prof. A.Procházka |
Evaluation / 12:00 The list of participants and final presentations |
>> Scientific Board << Prof. A.Procházka, Ing. M. Yadollahi, PhD RNDr. P.Cejnar, Ing. M.Schätz |
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| DATA FILES | Real Data Files: Biomedical Signals (EEG, MRI), Environmental Signals (Air Pollution), Energy Consumption (Gas) |
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| INFORMATIONS |
COURSE OVERVIEW:
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REFERENCES:
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