WITH APPLICATIONS 

*** 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 

Day  BLOCK A 9:0012:00 
BLOCK B 13:0014:30 
BLOCK C 14:3016:00 
Text  Case Study Projects 

Monday 18November 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: Ztransform, difference equations, system description
Prof. A. Procházka 
Case Study 1: DSP in environmental engineering: Spatial modelling of air pollution data Ing. M.Mudrová, PhD 

Tuesday 19November 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  
Wednesday 20November 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 

Thursday 21November 2019 
Lecture: Signal and image analysis, discrete Wavelet transform, basic definitions, signal decomposition, denoising, 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 

Friday 22November 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 
DATA FILES  Real Data Files: Biomedical Signals (EEG, MRI), Environmental Signals (Air Pollution), Energy Consumption (Gas) 
INFORMATIONS  COURSE OVERVIEW:  REFERENCES: 