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Lecturer(s)
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Juryca Karel, Ing. Ph.D.
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Pidanič Jan, doc. Ing. Ph.D.
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Course content
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1. Random signals in digital communications, complex signal envelope and its properties 2. Communication channel, digitally modulated signal, digital modulator (discrete and expansion part of the modulator), modulator grid, constellation diagram 3. TCM modulation (Trellis Coded Modulation), Ungerboeck codes 4. Models of communication channels, types of communication channels, properties, channel containing stationary, white Gaussian noise (AWGN), detection and recovery of data in received signal in memoryless digital modulators 5. Detection and recovery of data in the received signal for digital modulators with memory - Viterbi algorithm, detection errors 6. Linear Time Invariant Frequency Invariant Channels (LTI channels) I.: Channel operator, independent amplitude synchronization, error probability. AVC loop. 7. Linear Time Invariant Frequency Invariant Channels (LTI channels) II. Independent phase recovery (carrier frequency) 8. Linear time invariant frequency indistinguishable channels (LTI channels) III. Independent delay recovery 9. Linear time invariant frequency selective channels (operator definition, implications of channel effects for modulation, inter-symbol interference), time domain equalization 10. Linear time invariant frequency selective channels - estimation of frequency coefficients, frequency domain equalization 11. Linear time-varying channels I. 12. Linear time-invariant channels II - equalizers for LTV channels
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Participation in classes
- 52 hours per semester
- Preparation for an exam
- 40 hours per semester
- Home preparation for classes
- 34 hours per semester
- Preparation for laboratory work and processing of results
- 26 hours per semester
- Contact teaching
- 28 hours per semester
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Learning outcomes
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The aim of the course is to acquaint students with the properties of communication channels and the basic types of communication channels. In addition, students learn the principles of signal processing in modern communication systems and the design of methods and algorithms for synchronization and equalization of digital signal modulation and data detection.
After completing the course, the student masters the problem of data detection from the received signal in LTI frequency non-selective/selective channels, linear time-varying channels. The student is also familiar with digital modulations and random signals.
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Prerequisites
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Good knowledge of high school mathematics, integral and differential calculus and the basics of statistics
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Assessment methods and criteria
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Oral examination, Written examination
The student must demonstrate an understanding of the solved problems during the semester and during the final exam. The teacher will communicate the specific requirements to the students in the first week of the semester. During the semester and in the final exam, the student must demonstrate an understanding of the solved problems. The teacher will communicate the specific requirements to the students in the first week of the semester. Prerequisites for successful completion of the course: 1) In the event of emergency measures, classes will be taught remotely using MS Teams at scheduled times. Attendance at MS Teams group meetings is equivalent to attendance at lectures and tutorials. 2) Active participation in exercises and non-knowledge of the subject matter discussed (basic relationships and laws will result in an unexcused absence. Excepts or lectures are allowed during the exercises. 3) Minimum 80% attendance (excused and unexcused absences count) 4) Late arrival to class by a maximum of 10 minutes, then unexcused practice. 5) Completion of all homework assignments (approx. 10 homework assignments) Prerequisites for the exam: The student will be asked two questions from the topics discussed. He/she can get a maximum of 1 point from each question, i.e. 2 points maximum. A minimum of 0.5 points is required for each question. Assessment table according to points: A 3-2,7 B 2,69 - 2,4 C 2,39 - 2,1 D 2,09 - 1,8 E 1,79 - 1,5 F <1,5
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Recommended literature
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Bezoušek, P. Modulátory a demodulátory. FEI: UPCE, 2022.
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Čmejla, R. Úvod do číslicového zpracování signálů: cvičení. Praha: Vydavatelství ČVUT, 2005. ISBN 8001031586.
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Kay, S. M. Fundamentals ofstatistical signal processing. Upper Saddle River: Prentice Hall, 1993. ISBN 0-13-345711-7.
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Pidanič, J. Elektronická opora k předmětu: Zpracování signálu v digitálních komunikacích. 2024.
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Sýkora, J. Teorie digitální komunikace. Praha: Vydavatelství ČVUT, 2002. ISBN 80-01-02478-4.
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