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Main menu for Browse IS/STAG
Course info
KEI / SSO
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Course description
Department/Unit / Abbreviation
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KEI
/
SSO
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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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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,
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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Lecture
3
[Hours/Week]
Tutorial
2
[Hours/Week]
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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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Yes in the case of a previous evaluation 4 nebo nic.
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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, English
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Occ/max
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|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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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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28 / -
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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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5
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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, English
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
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 |
1|2|3|4 |
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
|
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
,
XLS
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Course objectives:
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To acquaint students with the systems and signals and familiarize it's with applications. Clarify the principles of analysis and synthesis systems and analog and digital signal processing. Fit students for the use of that knowledge.
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Requirements on student
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Credit: Seminar credit, completion of seminars and laboratory exercises, fulfillment of the written and oral part of the credit.
Exam: knowledge of the substance of lectures and exercises, the ability to apply knowledge. Demonstration of knowledge of the subject in the written and oral part of the exam.
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Content
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1. Basic characteristics of signals. Energy, power, mean, RMS, correlation, autocorrelation (continuous and discrete signals)
2. Types of sampling, continuous spectrum and discrete signal restoration of continuous signal from samples. Quantization, coding, oversampling effect.
3. D/A converters, A/D converters.
4. Fourier series, Parseval theorem, Fourier transformation, spectral energy density. Discrete Fourier transform, fast Fourier transform, properties, use
5. Analog filters, filter types, characteristics, frequency and phase characteristics.
Derivation of the transmission analog filter and calculating the frequency and phase characteristics.
6. Digital filters with the final impulse response. Digital filters with infinite impulse response.
7. Systems are changing the sampling frequency, decimation, interpolation.
8. Modulation demodulation.
9. Mathematically oriented representation systems in continuous time, state representation in differential form, causality and strict causality.
10. State representation of discrete time. Discretization, representations of causal systems
11. Transfer function, the relationship of transfer functions and state representation
12. Algebra structural diagrams - basic operations and their derivation. Controllability state representation. Observability of state representation.
13. Stability, external and internal stability, necessary and sufficient conditions of asymptotic stability.
14. Kalman canonical decomposition of a superficial representation of causal systems
15. Incremental representation of causal processes and their link with continuous and discrete systems
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Activities
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Fields of study
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Guarantors and lecturers
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-
Guarantors:
Ing. Vladimír Pavlíček, Ph.D. ,
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Lecturer:
Ing. Vladimír Pavlíček, Ph.D. (50%),
Prof. Ing. Milan Štork, CSc. (50%),
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Tutorial lecturer:
Ing. Pavel Broulím, Ph.D. (100%),
Ing. Vladimír Pavlíček, Ph.D. (50%),
Prof. Ing. Milan Štork, CSc. (50%),
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Literature
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Recommended:
Hwei P. Hsu. Signals and systems. McGraw-Hill, 2013. ISBN 978-0071829465.
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Recommended:
V. Oppenheim, G. C. Verghese. Signals, Systems and Inference. Prentice Hall, 2015. ISBN 13- 978-013394328.
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Recommended:
Signály a soustavy
(V. Šebesta, Z. Smékal)
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Recommended:
Signály a systémy. Elektronické skriptum, část I, II, III, třetí opravené vydání
(Jura P.)
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Recommended:
Vejražka, František. Vejražka, František Signály a soustavy : Určeno pro stud. fak. elektrotechn..
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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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Preparation for laboratory testing; outcome analysis (1-8)
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8
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Presentation preparation (report) (1-10)
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10
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Preparation for an examination (30-60)
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45
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Total
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63
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Combined form of study
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Activities
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Time requirements for activity [h]
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E-learning [dáno e-learningovým kurzem]
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45
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Contact hours
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20
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Total
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65
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Full-time form of study
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Activities
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Time requirements for activity [h]
|
Contact hours
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65
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Total
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65
|
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
explain basic mathematical methods and electronic analog and digital circuits |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
solve basic mathematical problems and electronic analog and digital circuits |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
distinguishes different types of systems |
Skills - skills resulting from the course: |
distinguishes different types of systems |
grounding applications and system properties |
evaluate and describe the appropriate way to use signal analysis |
use signal theory to justify function and system evaluation |
analyze and synthesize systems |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Oral exam |
Practical exam |
Individual presentation at a seminar |
Skills - skills achieved by taking this course are verified by the following means: |
Oral exam |
Written exam |
Individual presentation at a seminar |
Competences - competence achieved by taking this course are verified by the following means: |
Oral exam |
Written exam |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Laboratory work |
Skills - the following training methods are used to achieve the required skills: |
Lecture |
Laboratory work |
Competences - the following training methods are used to achieve the required competences: |
Lecture |
Laboratory work |
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