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Lecturer(s)
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Pidanič Jan, doc. Ing. Ph.D.
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Course content
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1. Digital signal processing, A/D conversion, signal sampling 2. Sampling and bandpass signal processing 3. Signal decimation/interpolation 4. Digital systems + LTI systems 5. Z-transformation 6. Analysis of LTI systems in the frequency domain, deconvolution of systems, inverse systems 7. LTI systems - introduction to filters, analog filter design 8. Design of digital filters I. 9. Digital filter design II. 10. Basic filter types (expressed using LTI systems) 11. Implementation of digital LTI systems (FIR and IIR) I. 12. Implementation of digital LTI systems (FIR and IIR) II.
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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.
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Recommended literature
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OpenCourse Ware. License: Creative Commons BY-NC-SA. RES.6-007 Signals and Systems (Alan Oppenheim).
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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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Mitra, S.K. Digital Signal Processing - A Computer-Based Approach. The McGraw-Hill Companies. Inc. New York, 1998.
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Pidanič, J. Elektronická opora k předmětu: Číslicové zpracování signálů. 2024.
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Tan, L. and Jean J. 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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