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Lecturer(s)
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Pidanič Jan, doc. Ing. Ph.D.
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Juryca Karel, Ing. Ph.D.
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Course content
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1. Band signals 2. Digital signal processing, A/D conversion, signal sampling 3. Sampling and processing of bandpass signals 4. Signal decimation/interpolation 5. Digital systems + LTI systems 6. Z-transformation 7. Analysis of LTI systems in the frequency domain, deconvolution of systems, inverse systems 8. LTI systems - introduction to filters, (design of analog filters) 9. Design of digital filters I. 10. Digital filter design II. 11. Basic filter types (expressed using LTI systems) 12. Implementation of digital LTI systems (FIR and IIR) The content of the course exercises is consistent with the lectures.
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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
- Home preparation for classes
- 45 hours per semester
- Preparation for an exam
- 45 hours per semester
- Contact teaching
- 38 hours per semester
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Learning outcomes
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The course introduces students to methods of analysis and processing of digital signals and their characteristics. Attention is paid to sampling, decimation and interpolation of the signal and its reconstruction. The next part deals with the analysis of LTI systems in the frequency domain. A large part is devoted to the division, design and applications of digital filters, filtering in the frequency domain, filter structures and the description and design of various types of filters.
By studying the course the student will gain deeper knowledge about digital signal processing such as the use of discrete Fourier transform, Z transform, analysis and design of digital filters, the effect of noise on processing, etc., and the ability to use this knowledge to implement specific signal processing devices.
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Prerequisites
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Mathematical calculus at the technical university graduates level. Knowledge of SW Matlab.
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Assessment methods and criteria
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Oral examination, Written examination
Prerequisite for successful completion of the course is a good basic knowledge of signal processing. In addition to visits to lectures and exercises, the study also includes the elaboration of a protocol for solving individual problems in the field of digital signal processing assigned during the semester. 1) Active participation in the exercises, ignorance of the issues discussed (basic relationships and laws will lead to an unexcused class. Excerpts or lectures are allowed during the exercises. 2) Arriving late for class by a maximum of 10 minutes, then unexcused exercise. 3) Completion of all homework (approximately 10 homework assignments) Evaluation: Oral exam, student will be given 3 questions from the topics discussed. The student can get a maximum of 1 point from each question, i.e. 3 points maximum. A minimum of 0.5 points is required for each question. Evaluation: Maximum points/ Minimum points for credit Homework 30 / 20 Exam 3 / 1.5 Table of marks 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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Davídek, Vratislav. Analogové a číslicové filtry. Praha: Vydavatelství ČVUT, 2004. ISBN 80-01-03026-1.
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Jiří Jan. Číslicová filtrace, analýza a restaurace signálů. Akademické nakladatelství VUTIUM, 2012.
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Mišurec, J., Smékal, Z. Číslicové zpracování signálů, Skriptum FEKT VUT vBrně. Brno, 2012.
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Mitra, S.K. Digital Signal Processing - A Computer-Based Approach. The McGraw-Hill Companies. Inc. New York, 1998.
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OpenCourse Ware. License: Creative Commons BY-NC-SA.
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Tan, Lizhe a Jean Jiang. Digital Signal Processing. 3rd Edition.. London: Academic Press., 2019. ISBN 978-0-12-815071-9.
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Uhlíř, Jan. Číslicové zpracování signálů. Praha: Vydavatelství ČVUT, 2002. ISBN 80-01-02613-2.
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