Course: Signal and Information Theory

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Course title Signal and Information Theory
Course code KEF/PGS5S
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 5
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Machala Libor, doc. RNDr. Ph.D.
Course content
Continuous and discrete signals and systems. Description of systems in time domain (impulse response). Convolution and correlation for continuous and discrete signals and systems. Fourier series, Fourier transform and its properties. Discrete Fourier transform, computation methods. Description of systems in frequency domain - transfer function, proposals of analogue and digital filters. Transmission systems -linear, nonlinear, digital. Sampling and quantization of signals, overlapping of spectra. Stochastic processes and random signals. Noise signals. Modulation of signals - analogue, impulse, digital. Fundamental terms of information theory. Information quantity, information entropy. Transmission of information by discrete and continuous channel. Coding and compression of information.

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Ben-Naim Arieh. (2017). Information Theory - Part I: An Introduction To The Fundamental Concepts. World Scientific Publishing Co Pte Ltd.
  • K. Deergha Rao. (2018). Signals and Systems. Birkhäuser Basel.
  • Pospíšil, J. (1994). Analýzy a přenosové aspekty signálů. UP Olomouc.
  • Vajda, I. (2004). Teorie informace. ČVUT.
  • Yeung, R. W. (2002). A First Course in Information Theory. Springer, New York, USA.


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