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Course info
KEF / TSI1E
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Course description
Department/Unit / Abbreviation
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KEF
/
TSI1E
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Academic Year
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2024/2025
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Academic Year
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2024/2025
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Title
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Theory of Signals and Information 1
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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Oral
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Type of completion
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Oral
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Time requirements
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Lecture
2
[Hours/Week]
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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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No
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Included in study average
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YES
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Language of instruction
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English
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Occ/max
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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not determined
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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English
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Internship duration
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0
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No. of hours of on-premise lessons |
0
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Evaluation scale |
A|B|C|D|E|F |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
A|B|C|D|E|F |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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KEF/TSI2E
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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The main aim is to learn theoretical aspects of signal transfer and processing. Attention is paid to understanding of Fourier transform as a tool for description of signals in spectral domain.
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Requirements on student
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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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Content
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1. Definition of signals, theory of signals and transmission systems 2. Fourier analysis of deterministic signals and impulses and their practical executions 3. Fourier analysis in a domain with continuous time and in discrete systems, algorithm of fast Fourier transform; application of computer (software Matlab) for Fourier analysis 4. Properties of Fourier transform, convolution and Fourier spectrum 5. Laplace and Hilbert transform 6. Correlation of deterministic signals 7. Properties of linear and nonlinear transmission systems 8. Characteristic functions and quantities of stochastic processes and of their realizations, errors in their estimations 9. Power spectra of stochastic processes and of their realizations 10. Transmission of stochastic signal via linear systems 11. Influence of noise on signals 12. Digital signals and their transmission 13. Digital transmission systems, their error rate and modeling
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Recommended:
Yeung, R.W. A First Course in Information Theory. Springer. New York, USA, 2002.
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Recommended:
Young, P.H. Electronic communication techniques. Ch.E.Merrill Publ. Comp. and Bell - Howel Comp. Columbus, 1985.
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Recommended:
Ben-Naim Arieh. Information Theory - Part I: An Introduction To The Fundamental Concepts. World Scientific Publishing Co Pte Ltd, 2017.
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Recommended:
K. Deergha Rao. Signals and Systems. Birkhäuser Basel, 2018.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Homework for Teaching
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20
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Preparation for the Exam
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30
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Attendace
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30
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Total
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80
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Prerequisites - other information about course preconditions |
- |
Competences acquired |
Knowledge To define the main ideas and conceptions of the subject, describe the main approaches of the studied topics, recall the theoretical knowledge for solution of model problems in the field of theory and processing of signals. |
Teaching methods |
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Assessment methods |
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