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Terminated in academic year 2023/2024

Digital Signal Processing

Type of study Follow-up Master
Language of instruction English
Code 440-4102/02
Abbreviation ZČS
Course title Digital Signal Processing
Credits 6
Coordinating department Department of Telecommunications
Course coordinator Ing. Jan Skapa, Ph.D.

Subject syllabus

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

Literature

[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.)

Advised literature

[1] A. Antoniou: Digital Filtres, analysis, design and applications, McGraw-Hill, 1993