PA190 Digital Signal Processing

Fakulta informatiky
jaro 2020
Rozsah
2/0/0. 2 kr. (plus 2 za zk). Doporučované ukončení: zk. Jiná možná ukončení: k.
Vyučující
prof. Ing. Karel Hájek, CSc. (přednášející), prof. Ing. Václav Přenosil, CSc. (zástupce)
prof. Ing. Václav Přenosil, CSc. (přednášející)
Garance
prof. Ing. Václav Přenosil, CSc.
Katedra počítačových systémů a komunikací – Fakulta informatiky
Kontaktní osoba: prof. Ing. Václav Přenosil, CSc.
Dodavatelské pracoviště: Katedra počítačových systémů a komunikací – Fakulta informatiky
Rozvrh
Po 17. 2. až Pá 15. 5. Čt 8:00–9:50 C416
Předpoklady
The PA174 course or at least the PB170 course is suitable for the successful completion of this course.
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Předmět si smí zapsat nejvýše 20 stud.
Momentální stav registrace a zápisu: zapsáno: 0/20, pouze zareg.: 0/20, pouze zareg. s předností (mateřské obory): 0/20
Mateřské obory/plány
předmět má 31 mateřských oborů, zobrazit
Cíle předmětu
To introduce the fundamentals of digital signal processing and related applications. This course will cover linear system analysis, z-transform, discrete Fourier transform (DFT) and its applications, FFT algorithms, digital filter (FIR and IIR) design and multi-rate signal processing.
Výstupy z učení
Students will:
understand principles of digital signal processing

be able to design algorithms to process signals

understand the way Fourier transformation is used to process signals.
Osnova
  • 1) An Introduction to digital signal processing (DSP), signals and their types
    2) Continuous and discrete-time signals, their spectrum, analog-to-digital, and digital-to-analog conversion, sampling theorem
    3) Analog signals, analog systems, discrete-time signals, discrete-time systems, analysis of discrete-time LTI systems, correlation of discrete-time signals
    4) Z-transform, properties of the Z-transform, rational z-transforms, inversion of the Z-transform, analysis of LTI systems in the z-domain
    5) Frequency-analysis of continuous-time signals, frequency analysis of discrete-time signals, properties of the Fourier transform for discrete-time signals, frequency-domain characteristics of LTI systems
    6) Frequency-domain sampling: The DFT, properties of the DFT, Linear-filtering methods based on the DFT, frequency analysis of signals using the DFT
    7) Efficient computation of the DFT: FFT algorithms
    8) Estimating the frequency of the dominant harmonic signal
    9) Basic principles of the digital filter realization as a discrete model of analog filtering
    10) Structures for the realizations of discrete-time systems, structures for FIR systems, structures for IIR systems, quantization and round-off effects in digital filters
    11) Design of digital filters, design of FIR filters, design of IIR filters from analog filters, frequency transformations, design of filters based on least-squares method, design of FFT filtering
    12) Introduction of the MATLAB Signal Processing Toolbox
Literatura
    doporučená literatura
  • Sanjit K. Mitra, "Digital Signal Processing: A Computer-Based Approach", second edition, McGraw-Hill.
  • John G. Proakis, Dimitris K Manolakis, "Digital Signal Processing: Principles, Algorithms, and Applications", third edition, Prentice Hall.
Výukové metody
During the semester, students are required to do tasks involving the use of the Matlab software package. The course concludes with a final test.
Metody hodnocení
The final examination consists of 3 parts:
1) defense of the project - implementation of the design from laboratory lessons and discussion about protocol,
2) written test - logical algebra, design of the digital circuits and analysis of the digital circuits,
3) oral exam - theoretical tools for the design of the digital circuits.
Vyučovací jazyk
Angličtina
Navazující předměty
Informace učitele
The course is split into theoretical and practical parts. The practical part will take place on the hardware and software in the Laboratory of Architecture and Design of Digital Computers. All documentation and manuals used are available in English only.
Další komentáře
Studijní materiály
Předmět je vyučován každoročně.
Předmět je zařazen také v obdobích jaro 2012, jaro 2013, jaro 2014, jaro 2015, jaro 2016, jaro 2017, jaro 2018, jaro 2019, jaro 2021, jaro 2022, jaro 2023, jaro 2024.