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Course: Signal and Information Theory I

Department/Abbreviation: KEF/PGST1

Year: 2021

Guarantee: 'doc. RNDr. Libor Machala, Ph.D.'

Annotation: The aim is to inform students with the main theoretical aspects of transfer and processing of signals. Attention is paid to understanding of Fourier transform as a tool for description of signals in frequency domain.

Course review:
Definition of signals, theory of signals and transfer systems Fourier analysis of deterministic signals and impulses and their practical executions Fourier analysis in a domain with continuous time and in discrete systems, algorithm of fast Fourier transform Properties of Fourier transform, convolution and Fourier spectrum Laplace and Hilbert transform Correlation of deterministic signals Properties of linear and nonlinear transfer systems Characteristic functions and quantities of stochastic processes and their realizations, errors in their estimations Power spectra of stochastic processes and their realizations Transmission of stochastic signal via linear systems Effect of noise on signals Digital signals and their transmission Digital transfer systems, their error rate and modeling