| Course Unit Code | 440-4102/01 |
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| Number of ECTS Credits Allocated | 6 ECTS credits |
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| Type of Course Unit * | Optional |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | First Year |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| SKA109 | Ing. Jan Skapa, Ph.D. |
| Summary |
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| Students will learn the basics of digital signal processing, its pros and cons, basic algorithms of filtration and spectrum estimation. |
| Learning Outcomes of the Course Unit |
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Understand digital signal processing and used data compression.
Learning outcomes are set so that the students are able to identify and apply tasks related to the processing of digital signals.
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| Course Contents |
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Motivation - pros and cons of using DSP compared to the analog signal processing.
DFT, relation between DFT and Fourier series. DCT as a special case of DFT. Filter and filtration in the frequency domain.
Cross correlation, autocorrelation and convolution - meaning, relations with DFT, filtration in the time domain.
Sampling theorem, aliasing, leakage. Reconstruction of the analog signal using the ideal low pass filter. Spectrum of the sampled signal.
Linear filtration - linearity, causality, time invariance, stability. Realisation structures.
IIR filters - design, realisation structures, comparison with analog filters.
FIR filters - design, realisation structures, comparison with IIR filters.
A/D and D/A conversion. Quantisation, floating point representation. Problems in DSP systems related to quantisation.
Adaptive filtration, systems with variable sampling frequency.
Intruductive discrete wavelet transform, it's use in technical applications.
Introductive speech and audio signal processing.
Introductive multidimensional signal processing.
Project
Fourier series approximation, Fourier transform |
| Recommended or Required Reading |
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| Required Reading: |
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| [1] Emmanuel C. Ifeachor, Barrie W. Jervis. [i]Digital signal processing: a practical approach.[/i] 2nd ed. Prentice Hall, Harlow (UK), 2002. ISBN 0-201-59619-9 (váz.) |
| [1] Vratislav Davídek, Miloš Laipert, Miroslav Vlček. [i]Analogové a číslicové filtry.[/i] 2. vyd. Nakladatelství ČVUT, Praha, 2006 dotisk. ISBN 80-01-03026-1 (brož.) |
| Recommended Reading: |
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| [1] A. Antoniou: Digital Filtres, analysis, design and applications, McGraw-Hill, 1993 |
[1] J. Prchal: Signály a soustavy, ČVUT Praha, 1992
[2] B. Pšenička, V. Davídek: Prostředky digitálního zpracování signálů, ČVUT Praha 1992
[3] Z. Smékal: Číslicové filtry, VUT Brno, 1993
[4] F. Vejražka, Z. Hrdina: Signály a soustavy - sbírka příkladů, ČVUT Praha, 1992 |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Experimental work in labs |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
| Exercises evaluation | Credit | 36 | 20 |
| Examination | Examination | 64 | 15 |