Course: Signal processing

« Back
Course title Signal processing
Course code AUEM/AEZSZ
Organizational form of instruction Lecture + Seminar
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 3
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Křesálek Vojtěch, doc. RNDr. CSc.
  • Šteigl Roman, Mgr. Ph.D.
  • Navrátil Milan, Ing. Ph.D.
  • Kubalčík Marek, doc. Ing. Ph.D.
Course content
- Signals, concept of Hilbert space - The concepts of discrete time sampling and quantization of an analog signal - Fourier transform, discrete Fourier transform, fast Fourier transform, spectral leakage and windowing - Wavelet transform, z-transform - Digital filters ? Finite Impuls Response Filters (FIR) - Digital filters ? Infinite Impuls Response Filters (IIR) - Analog filters and digital filters, area of applications - Random signals, stochastic processes - Signal enhancement in noise, small signal measurement - Spectrum analyzers - Applications of spectral analysis, correlation and related methods - Optical signal processing - Physical limitations of classical signal processing - Introduction of 2D signal processing

Learning activities and teaching methods
Lecturing, Exercises on PC
Learning outcomes
This course deals with the problems of continuous signals and systems. Emphasis is put on signal processing in presence of noise and on applications in measuring engineering and telecommunication. Signal sampling and its reconstruction, Description of discrete signals in time and frequency domain. Discrete Fourier Transformation (DFT), Fast Fourier Transformation (FFT), Digital filtering, Filters with finite impulse response (FIR), Filters with infinite impulse response (IIR), Stochastic signal processing, Correlation functions, Synchronous detection, Wavelet transformation, Principles of optical display techniques, Picture digitalization, Geometric transformation, Brightness transformation, Noise filtering, Failure detection, Edge detection, Two-dimensional integral transformations, Digital image processing methods, optical and optoelectronic signal processing, Physical limits of signal processing.
Student is well informed in fundamental principles of signal processing, gains ability to understand of technical articles in world-class literature.
Prerequisites
Knowledge of undergraduate mathematics and physics of technical faculties is supposed.

Assessment methods and criteria
Composite examination (Written part + oral part)

Credit - 80% attendance in laboratory Exam - written and oral partThe result of a subject examination is expressed on a six-point scale: A "výborně" (i.e. "excellent"), B "velmi dobře" (i.e. "very good"), C "dobře" (i.e. "good"), D "uspokojivě" (i.e. "satisfactory"), E "dostatečně" (i.e. "sufficient"), F "nedostatečně" (i.e. "fail").
Recommended literature
  • Hlaváč, Václav. Zpracování signálů a obrazů. 1. vyd. Praha : ČVUT, 2000. ISBN 8001021149.
  • Jan, J. Číslicová filtrace, analýza a restaurace signálů. Brno : VUTIUM, 2002. ISBN 80-214-1558-4.
  • Jan, J. Číslicová filtrace, analýza a restaurace signálů. Brno : VUT, 1997. ISBN 80-214-0816-2.
  • Kotuliaková, J., Rozinaj, G. Číslicové spracovanie signálov. Bratislava : STK, 1999. ISBN 80-227-1236-1.
  • Sedláček, M. Zpracování signálů v měřicí technice. Praha : ČVUT, 1996. ISBN 80-01-00900-9.


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester