COURSE STARTS ON MONDAY 14 NOVEMBER 2011
in lecture room A335
Institute of Chemical Technology, Technicka 5, Prague 6
MEETING AT 8:45 AT THE PORTER'S LODGE


Panorama

S4
DIGITAL SIGNAL AND IMAGE PROCESSING
WITH APPLICATIONS
PROGRAMME ATHENS 2011 - November 14-18
*** 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
S5
Prof. Ing. Aleš Procházka, CSc     


ATHENS
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
MATLAB ATHENS_CS1
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
DSP ATHENS_CS2
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)
ATHENS_CS3
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
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 ATHENS_EXAM

DATA FILES Real Data Files: Biomedical Signals (EEG, MRI), Environmental Signals (Air Pollution), Energy Consumption (Gas) DATA

CS1 CS2 CS3

INFORMATIONS COURSE OVERVIEW:      PRESENTATION REFERENCES:      REFERENCES