Předmět: Digital Signal Processing

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Název předmětu Digital Signal Processing
Kód předmětu KERS/ZDISI
Organizační forma výuky Přednáška + Cvičení
Úroveň předmětu nespecifikována
Rok studia nespecifikován
Semestr Zimní
Počet ECTS kreditů 5
Vyučovací jazyk Angličtina
Statut předmětu nespecifikováno
Způsob výuky Kontaktní
Studijní praxe Nejedná se o pracovní stáž
Doporučené volitelné součásti programu Není
Dostupnost předmětu Předmět je nabízen přijíždějícím studentům
Vyučující
  • Pidanič Jan, doc. Ing. Ph.D.
Obsah předmětu
1. Mathematical apparatus for processing discrete signals 2. Representation, modelling, classification and description of discrete signals. Discrete signal operations 3. Basic types of discrete signals (harmonic signals, unit pulse, unit jump, pulse signal, triangular signal) 4. Discrete systems in the time domain, block representation, properties of systems, FIR and IIR systems 5. Description of discrete systems using differential equations and their solutions 6. Tools for analysis of discrete periodic signals in the frequency domain (DTFS) 7. Tools for analysis of discrete non-periodic signals in the frequency domain (DTFT) 8. Discrete Fourier transform, fast computational algorithms (FFT) 9. Z-transformation I. (relations, convergence region, properties) 10. Z-transformation II. (Z-transformation of significant signals, inverse Z-transformation) 11. Determination of frequency characteristics of discrete systems 12. Sampling of continuous signals I. (types of sampling), conditions and effects of sampling in the time and frequency domain 13. Sampling of continuous signals II. (quantization, effects of quantization, A / D converters, SQNR) The content of the course exercises is consistent with the lectures.

Studijní aktivity a metody výuky
nespecifikováno
Výstupy z učení
The aim of the course is to acquaint students with the representation, processing and analysis of discrete signals and systems (filters) used in communication and control technology. The course includes signal representation, modelling of discrete signals and systems, tools for the analysis of discrete periodic and non-periodic signals in the time and frequency domain. Next part is devoted to the design of the discrete systems with the required characteristics (by solving differential equations and by z-transform). The final part of the course is devoted to sampling and subsequent quantization of continuous signals and state-space analysis of discrete signals.
The student will gain knowledge in the field of digital signal processing and their analysis in the time and frequency domain. He will also be acquainted with the issues of A/D conversion of continuous signals and analysis of continuous systems in the time and frequency domain. Teaching methods
Předpoklady
Knowledge of differential and integral calculus, the sum of arithmetic / trigonometric series and Matlab software.

Hodnoticí metody a kritéria
nespecifikováno
Prerequisites for successful completion of the course: 1) Attendance rate of at least 80% 2) Completion of all homework assignments (approximately ten homework assignments): - Each student will hand in the completed homework within a week (the following class) - Each homework assignment is marked with a maximum of 3 points (in case of late submission, the number of points decreases by 1 point with each day) - The numerical part of the homework is done in handwritten form - In case of a wrong homework, the assignment must be corrected and submitted within one week. If the homework is not submitted within a week, it is marked with 0 points. - All homework assignments must be turned in to receive credit - The completed homework can be handed in as a hard copy at the tutorial, or a scanned version can be emailed to jan.pidanic@upce.cz in the form of The student will be given three questions from the topics discussed in the oral exam. Each question can score 1 point, i.e. 3 points maximum. A minimum of 0.5 points is required for each question. Score table: 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
Doporučená literatura


Studijní plány, ve kterých se předmět nachází
Fakulta Studijní plán (Verze) Kategorie studijního oboru/specializace Doporučený ročník Doporučený semestr