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Main menu for Browse IS/STAG
Course info
KE / RNSSE
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Course description
Department/Unit / Abbreviation
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KE
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RNSSE
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Signals and Systems
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Form of course completion
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Examination
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Form of course completion
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Examination
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Accredited / Credits
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Yes,
5
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Seminar
24
[Hours/Semester]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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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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Czech
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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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1 / -
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0 / 0
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0 / 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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Czech
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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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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
Yes
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Fundamental course |
No
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Fundamental theoretical course |
Yes
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Evaluation scale |
A|B|C|D|E|F |
Evaluation scale for credit before examination |
S|N |
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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N/A
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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 aim of the course is to acquaint students with the characteristics of signals and systems in continuous and discrete time. Part of the course will be acquainted with suitable tools for characterization of signals in the time and frequency domain (Fourier series, Fourier transform, DTFS, DTFT, DFT). Furthermore, students will gain knowledge about the relationship between the spectra of different types of commonly used signals. Another part of the course is devoted to band signals and related Hilbert forward and reverse transformations and their sampling.
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Requirements on student
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During the semester and in the final exam, the student must demonstrate an understanding of the solved problems. The specific requirements will be communicated to the students by the teacher in the first week of the semester.
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Content
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1. Classification of signals and characteristics of continuous / discrete signals on a limited / unlimited time interval
2. Analysis of periodic continuous signals (signal decomposition using Fourier series)
3. Analysis of non-periodic signals in continuous time (Fourier transform) I.
4. Analysis of non-periodic signals in continuous time (Fourier transform) II.
5. Analysis of periodic discrete signals (Fourier series of discrete signal)
6. Analysis of non-periodic signals in discrete time (Fourier transform of discrete signal DTFT)
7. Relationships between spectra of different signals
8. Discrete Fourier transform
9. Practical use of DFT, FFT
10. Band signals, Hilbert transform
11. Properties of band signals and their sampling
12. Continuous systems
13. Discrete systems
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Activities
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Fields of study
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V případě mimořádných opatření bude výuka probíhat vzdáleně s využitím programu MS Teams v době dle rozvrhu. Účast na schůzkách skupiny v MS Teams je ekvivalentní účasti na přednáškách a cvičeních.
In the case of distance learning, lessons will be tought trough MS Teams. Lessons will be at the time shown in the timetable. MS Teams is equivalent to participation and or attendens in lectures and excersises.
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Guarantors and lecturers
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Literature
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Basic:
Jiří Jan. Číslicová filtrace, analýza a restaurace signálů. Akademické nakladatelství VUTIUM, 2012.
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Basic:
Uhlíř, Jan. Číslicové zpracování signálů. Praha: Vydavatelství ČVUT, 2002. ISBN 80-01-02613-2.
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Basic:
Mišurec, J., Smékal, Z. Číslicové zpracování signálů, Skriptum FEKT VUT vBrně. Brno, 2012.
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Basic:
Poularikas, Alexander D. a Samuel Seely. Signal and Systems 2nd Edition, Scientific International. 2018. ISBN 978-93-87938-35-9.
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Basic:
Bezoušek P. Signály a soustavy. 2018.
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Recommended:
Mitra, S.K. Digital Signal Processing - A Computer-Based Approach. The McGraw-Hill Companies. Inc. New York, 1998.
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Recommended:
OpenCourse Ware. License: Creative Commons BY-NC-SA.
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Recommended:
RES.6-007 Signals and Systems
(Alan Oppenheim)
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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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Kontaktní výuka
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30
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Příprava na zápočet
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28
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Příprava na zkoušku
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40
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Účast na výuce
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52
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Total
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150
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Prerequisites - other information about course preconditions |
Mathematical calculus at the technical university graduates level |
Competences acquired |
After completing the course, the student masters the issues of processing and analysis of continuous/discrete signals, both in the time and frequency domain. These are mainly tools:
- continuous/discrete signal decomposition using Fourier series
- computation of the spectrum of a continuous signal using the Fourier transform
- computation of the spectrum of a discrete signal using DTFT and DFT
- Hilbert transform for analysis of bandpass signals |
Teaching methods |
- Monologic (reading, lecture, briefing)
- Dialogic (discussion, interview, brainstorming)
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Assessment methods |
- Oral examination
- Written examination
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