| Course title | Signal and Information Theory |
|---|---|
| Course code | KEF/PGS5S |
| Organizational form of instruction | Lecture |
| Level of course | Doctoral |
| Year of study | not specified |
| Semester | Winter and summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech, English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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Continuous and discrete signals and systems. Description of systems in time domain (impulse response). Convolution and correlation for continuous and discrete signals and systems. Fourier series, Fourier transform and its properties. Discrete Fourier transform, computation methods. Description of systems in frequency domain - transfer function, proposals of analogue and digital filters. Transmission systems -linear, nonlinear, digital. Sampling and quantization of signals, overlapping of spectra. Stochastic processes and random signals. Noise signals. Modulation of signals - analogue, impulse, digital. Fundamental terms of information theory. Information quantity, information entropy. Transmission of information by discrete and continuous channel. Coding and compression of information.
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
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| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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