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Lecturer(s)
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Ptáček Ladislav, Ing. Ph.D.
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Course content
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Content of lectures: 1. Signal classification and characteristics, noises classification, basic measurement parameters 2. Discrete signal, main features, generation 3. Signal processing algorithms, sampling, linear PCM 4. Signal processing algorithms, non-linear sampling 5. Signal features in time-domain, power-characteristics, band-energy distribution, auto-correlation characteristics, signal correlation 6. short and long-term Spectral analysis 7. Frequency and time-domain analysis, Spectral analysis, FT, DFT 8. Frequency and time-domain analysis, Cepstral analysis, Wavelet transformation, LPC 9. Signal transmission trough linear system 10. Discrete modulation and encoding, general definition, principal features, classification 11. Discrete modulation linear/non-linear, without memory (PSK, QAM, FSK). 12. Discrete modulation linear/non-linear, with memory (TCM, CPFSK, CPM, GMSK) 13. Linear filtration FIR, methods of the signal data compression 14. Reserve Content of practicals: Solve the essential problems of signal processing and analysis. Computer methods of problem with Matlab and Octave software.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration, Laboratory
- Class attendance
- 28 hours per semester
- Preparation for credit
- 8 hours per semester
- Semestral paper
- 20 hours per semester
- Preparation for classes
- 10 hours per semester
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Learning outcomes
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The aim is to introduce students with the basics of audio signals processing and transmission. The first part of lectures is devoted to the signal digitalization and processing. The middle part is focuses on signal analysis. The last part handles with modulations and its computations. The exercises are divided into mathematical basic and work with the simulation software Matlab and Octave.
To obtain a knowledge of signla processing and transmission, mainly the discrete signals. Knowledge of signal analysis, understanding of the features. Overview of signal modulations and application. A student will be able to get understanding of basic parameters of transmission devices, to apply these devices, and understand of the technical principles.
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Prerequisites
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Advance knowledge of mathematics and physics.
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Assessment methods and criteria
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Student performance assessment, Seminar work, Development of laboratory protocols
Attendance at exercises of at least 80%. Elaboration of semester work. Submission of protocols (usually two) prepared on the basis of processed tasks.
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Recommended literature
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Eargle, J.: Handbook of recording engineering. Springer 2006.
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Bhattacharyya, S. S., Deprettere, E. F., Leupers, R., Takala, J. (Eds.). Handbook of Signal Processing Systems. Springer International Publishing AG, 2018. 2018. ISBN 978-3-319-91734-4.
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Dutoit, T., Ferran, M. Applied Signal Processing. Springer-Verlag GmbH, 2009,. 2009. ISBN 978-0-387-74535-0.
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Holton, T. Digital Signal Processing. Cambridge University Press.. 2020. ISBN 9781108290050.
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