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Lecturer(s)
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Pidanič Jan, doc. Ing. Ph.D.
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Zálabský Tomáš, Ing. Ph.D.
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Course content
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1. Signal classification: Periodical signals, non-periodical signals, causal and non-causal signals, signals in the continuous and discrete time. Basic signal characteristics: mean value, power, energy, correlation function. 2. Examples of signal characteristics at analog and discrete form (constant, rectangular, triangular pulse, radio pulse) 3. Periodic signals in analog and discrete form (properties of periodic signals, harmonic signals, spectral representation of periodic signals) 4. Examples of spectral representation of common periodic signals at analog and discrete form 5. Non periodic signals in analog form (properties of signals, , spectral representation of signals) 6. Examples of spectral representation of common non periodic signals at analog form 7. Non periodic signals in discrete form ? DTFT, DFT (properties of signals, , spectral representation of signals) 8. Relationship between spectrum of different signals 9. Bandpass signals: Hilbert transform, envelope, phase, frequency, complex envelope, bandpass signal sampling - I. 10. Examples of bandpass signal of common signals at analog form 11. Continuous time systems: Classification, LS systems, frequency domain and time domain representation, stability and causality, output signal characteristics ? I. 12. Examples of analog systems (transfer function, system function) 13. Fundamentals of random signals
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Work with text (with textbook, with book), Methods of individual activities, Laboratory work
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Learning outcomes
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The aim of the subject is to provide students with teoretical 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 study.
Student will be able to work with Fourier transform, Z-transform, discrete Fourier transform, digital filters and other digital signal processing circuits. He (she) will be able to use this knowledge for realisation of concrete digital signal processing equipment.
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Prerequisites
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Mathematics (integral, derivation, function, series, etc.)
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Assessment methods and criteria
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Oral examination, Written examination, Home assignment evaluation
Mathematics, Physics, Electromagnetics, Digital Circuits, Circuit Theory Study includes also an individual work on digital signal processing task.
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Recommended literature
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Antoniou A. Digital signal processing. McGraw-Hill, 2005.
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Hayes M.H. Digital signal processing. McGraw-Hill, 1999.
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Smith S.W. Digital signal processing. California Technical Publishing, 1999.
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Zelniker, G., Taylor, F.J. Advanced digital signal processing. Marcel Dekker, New York, 1994.
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