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WITH APPLICATIONS |
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*** Czech Technical University *** Supported by EU Socrates Programme *** Institute of Chemical Technology *** Department of Computing and Control Engineering Digital Signal and Image Processing Research Group |
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| Day | Lectures and CASE STUDIES 9-12 |
Break | Lectures and CASE STUDIES 13-16 |
Text | Case Study Specification |
|---|---|---|---|---|---|
| Monday 14-November 2011 |
LECTURE BLOCK A: Introduction to signal processing, MATLAB programming, visualization,
selected methods of data processing, linear algebra, the least square method, approximation
Prof. A. Procházka |
LECTURE BLOCK B: Z-transform, difference equations, system description, discrete Fourier transform, properties, frequency components detection, programming in MATLAB, computer graphics Prof. A. Procházka |
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| Tuesday 15-November 2011 |
LECTURE BLOCK C: (8:30-9:30) The
short time Fourier transform, window functions Prof. A. Procházka CASE STUDY A: (10:00-11:30) Energy consumption data analysis and modelling, signal prediction Dr. J. Švihlík |
LECTURE BLOCK D: (13:00-14:30) Statistical signal processing, Shannon, Renyi and Tsallis Entropy for Fractal Set Analysis Assoc. Prof. J. Kukal CASE STUDY B: (14:30-16:00) Multimedia signal processing, image de-noising and compression Dr. J. Švihlík |
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| Wednesday 16-November 2011 |
LECTURE BLOCK E: Digital filtering using difference equations, FIR and IIR filters, frequency domain filtering application in EEG signal analysis and de-noising Prof. A. Procházka |
Excursion to the Orthodontics department of Motol Hospital (Biomedical image acquisition and analysis) Ing.J.Horejš, MUDr.M.Kašparová (meeting at 13:10 at Porters Lodge of Institute of Chemical Technology, Technicka 5) |
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| Thursday 17-November 2011 |
LECTURE BLOCK F: Signal and image analysis, discrete Wavelet transform, basic definitions, signal decomposition, de-noising,
reconstruction Prof. A. Procházka |
CASE STUDY C: Two-dimensional modelling and visualization of air pollution data Ing. M. Mudrová |
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| Friday 18-November 2011 |
LECTURE BLOCK G: (9:00-10:00) Linear and non-linear modelling, artificial neural networks,
transfer functions, optimization Prof. A. Procházka CASE STUDY D: (10:00-11:30) Application of DSP methods in robotic systems Ing. J. Mareš, MUDr. O. Vyšata |
Evaluation and closing |
| 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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