Course: Theory of Signals and Information 2

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Course title Theory of Signals and Information 2
Course code KEF/STI2X
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study 1
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
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
<li> Basic characters and types of analogical modulations of signals <li> Amplitude modulation and influence of noise on amplitude-modulated signals <li> Phase modulation and influence of noise on phase-modulated signals <li> Sampling and impulse modulations of signals <li> Quantization and digital modulations of signals <li> Many-channel signals <li> Definition and basic terms of theory of information, information and its quantitative measures, mathematical inequalities in theory of information <li> Basic types and properties of information entropy <li> Mean transinformation and its properties <li> Coding and redundancy of information <li> Transmission of information via discrete channel <li> Transmission of information via continuous channel <li> Relationship between information and thermodynamical entropy </ul>

Learning activities and teaching methods
Lecture
Learning outcomes
The aim is to familiarize students with basic processes of signal processing including modulation, sampling, and quantization. Students are further familiarized with the terms and relations of theory of information.
Students will know basic methods of signal processing, such as modulation, sampling, and quantization. Students will also know basic terms and relations of information theory.
Prerequisites
unspecified

Assessment methods and criteria
Mark

Active attendance in the exercise classes <li> Passing the final written test (over 60 % of the maximum score in the test) <li> Passing the oral examination </ul>
Recommended literature
  • Bajcsy, J.; Vítovec, J. (1988). Telemetria a prenos údajov. Alfa Bratislava a SNTL Praha.
  • Černý, J. (1981). Entropia a informácia v kybernetike. Alfa Bratislava.
  • Ertinger, Z.; Sklenář, J. (1980). Signály a soustavy. VUT Brno.
  • Goldman, S. (1953). Information theory. Prentice - Hall Inc.
  • Havrda, J. (1982). Stochastické procesy a teorie informace. ČVUT Praha (skriptum).
  • Hoffner, V. (1987). Úvod do teorie signálů. SNTL Praha.
  • Pospíšil, J. (1993). Teorie informace. UP Olomouc (skriptum).
  • Pospíšil, J. (1994). Teorie zpracování signálů. UP Olomouc (skriptum).
  • Prchal, J. (1971). Teorie informace. ČVUT Praha (skriptum).
  • Uhlíř, J., Sovka, P. (2002). Číslicové zpracování signálů. ČVUT Praha.
  • Yeung, R.W. (2002). A First Course in Information Theory. Springer. New York, USA.
  • Young, P.H. (1985). Electronic communication techniques. Ch.E.Merrill Publ. Comp. and Bell - Howel Comp. Columbus.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Physics (2019) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Nanotechnology (2019) Category: Special and interdisciplinary fields 1 Recommended year of study:1, Recommended semester: Summer