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Lecturer(s)
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Pidanič Jan, doc. Ing. Ph.D.
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Juryca Karel, Ing. Ph.D.
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Course content
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1. Classification and characteristics of continuous/discrete signals on a limited/unlimited time interval 2. Analysis of periodic continuous signals (signal decomposition using Fourier series) 3. Analysis of non-periodic signals in continuous time (Fourier transform) 4. Analysis of non-periodic signals in continuous time (Fourier transform), properties of the Fourier transform II. 5. Analysis of periodic discrete signals (Fourier series of discrete signal) 6. Analysis of non-periodic signals in discrete-time (Fourier transform of discrete signal DTFT), relations between signal spectra in continuous and discrete-time 7. Relations between spectra of signals (continuous/discrete, periodic/non-periodic etc.) 8. Discrete Fourier transform 9. Practical use of the DFT for computation of the periodic/non-periodic and continuous/discrete signals 10. Bandpass signals (definition, direct/inverse Hilbert transform) 11. Bandpass signals II. (sampling of the bandpass signal, analytic signal, complex envelope, envelope etc.) 12. Continuous systems (definition, properties, convolution, transfer function, LTI systems) 13. Discrete systems (definition, properties, convolution, transfer function, LTI systems)
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities
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Learning outcomes
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The subject aims to provide students with theoretical backgrounds of signals and systems needed for the further study of signal processing in communication and control. The subject links to basic knowledge of signals, electronic circuits and modulations gained during the bachelor study.
The student will get basics in theory of the determined and random signals and in linear systems both in the continuous and discrete-time needed for the further study of the signal transfer and processing in communication and control.
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Prerequisites
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Basics in the following areas: differential and integral calculus, statistics and probability, electronic circuits and communication technology.
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation
Mandatory participation in laboratory and PC exercises, homework.
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Recommended literature
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Proakis, John G. Digital signal processing. Upper Saddle River: Pearson Prentice Hall, 2007. ISBN 0-13-187374-1.
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Taylor, Fred J. Principles of signals and systems. New York: McGraw-Hill, 1994. ISBN 0-07-911171-8.
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