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Lecturer(s)
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Machala Libor, doc. RNDr. Ph.D.
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Course content
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1. Basic properties and types of analog modulations of signals 2. Amplitude modulation and effect of noise on amplitude-modulated signals 3. Phase modulation and effect of noise on phase-modulated signals 4. Sampling and impulse modulations of signals 5. Quantization and digital modulations of signals 6. Multi-channel signals 7. Application of software Matlab for modelling of signal modulations 8. Definition and basic terms of information theory, information and its quantitative measures, mathematical inequalities in theory of information 9. Basic types and properties of information entropy 10. Mean mutual information and its properties 11. Coding and redundancy of information 12. Transfer of information via discrete channel 13. Transfer of information via continuous channel 14. Relationship between information and thermodynamic entropy
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Learning activities and teaching methods
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Lecture
- Homework for Teaching
- 30 hours per semester
- Attendace
- 50 hours per semester
- Preparation for the Exam
- 40 hours per semester
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Learning outcomes
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The main aim is to learn students the main methods of signal modulations and further basic terms and quantities of information theory.
Knowledge of signal processing (Fourier transform, signal sampling, signal quantization). Basic knowledge of mathematical analysis (derivations, integrations, functions of complex variable).
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Prerequisites
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unspecified
KEF/TSI1E
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Assessment methods and criteria
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Oral exam
Knowledge in the range of lecture content. The important term is Fourier transform. Regular attendance on the lectures is strongly recommended.
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Recommended literature
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Goldman, S. (1953). Information theory. Prentice - Hall Inc.
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MacKay, D. J. C. (2003). Information Theory, Inference, and Learning Algorithms. Cambridge.
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Yeung, R. W. (2002). A First Course in Information Theory. Springer, New York, USA.
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Young, P. H. (1985). Electronic communication techniques. Ch.E.Merrill Publ. Comp. and Bell - Howel Comp. Columbus.
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