Course: Signal processing

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Course title Signal processing
Course code KKY/ZSI
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Liška Jindřich, Ing. Ph.D.
  • Psutka Josef, doc. Ing. Mgr. Ph.D.
Course content
The signal properties, sampling and quantization of signal, Shannon sampling theorem, signal reconstruction. Information theory, channel coding, entropy. Z-transform, Fourier analysis of continuous and discrete-time signals, convolution and correlation, discrete Fourier transform, fast algorithms for the Fourier transform evaluation, Hartley transform, Cosine transform, interpolation of the signal, filters with finite and infinite response and their design, noise and signal distortion, signal enhancement method in noise, the scaling of stochastic time-frequency domain, homomorphic signal processing, cepstral analysis, correlation analysis of signals, time-frequency signal analysis, the uncertainty principle Wavelet transform, Wigner-Villeova distribution, instantaneous frequency, analytic signal, Hilbert transform, empirical modal decomposition and Hilbert-Huang transform, order analysis - Vold-Kalman filter, full spectrum and identification of precession.

Learning activities and teaching methods
Lecture supplemented with a discussion, One-to-One tutorial, Individual study, Lecture with visual aids, Practicum
  • Presentation preparation (report) (1-10) - 5 hours per semester
  • Practical training (number of hours) - 26 hours per semester
  • Contact hours - 39 hours per semester
  • Individual project (40) - 40 hours per semester
  • Preparation for an examination (30-60) - 45 hours per semester
prerequisite
Knowledge
ovládat základy matematické analýzy
orientovat se v lineálních systémech
algoritmizovat
Skills
dekomponovat úlohu na subúlohy
pracovat s lineárními časově invariantními systémy
aplikovat znalosti z matematické analýzy
Competences
N/A
learning outcomes
Knowledge
vysvětlit zpracování signálů spojitých a disktrétních v čase
formulovat úlohu převodu signálu do spektra a zpět
vysvětlit principy filtrace signálu
interpretovat časo-frekvenční analýzu signálu
vysvětlit úplné spektrum a řádovou analýzu
Skills
převést navzorkovaný signál do spektra
navrhnout a realizovat FIR a IIR filtry
provádět kepstrální analýzu
realizovat časo-frekvenční analýzu
odhadnout úplné spektrum a identifikovat precesi
Competences
N/A
teaching methods
Knowledge
Lecture with visual aids
Lecture supplemented with a discussion
One-to-One tutorial
Skills
Practicum
Individual study
Competences
Lecture supplemented with a discussion
Task-based study method
assessment methods
Knowledge
Combined exam
Skills
Seminar work
Competences
Combined exam
Seminar work
Recommended literature
  • Jan, Jiří. Číslicová filtrace, analýza a restaurace signálů. 2., upr. a rozš. vyd. V Brně : VUTIUM, 2002. ISBN 80-214-2911-9.
  • Uhlíř, Sovka, Čmejka. Úvod do číslicového zpracování signálů. Praha.


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