| Course title | Computer-Based Signal Processing |
|---|---|
| Course code | ITE/PZS |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Master |
| Year of study | 1 |
| Semester | Winter and summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech, English |
| Status of course | Compulsory |
| Form of instruction | Face-to-face |
| Work placements | Course does not contain work placement |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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Lectures: 1) Introduction, discrete (deterministic) signals and systems, linear time invariant systems (LTI), convolution 2) Correlation of deterministic signals, Discrete time Fourier transform (DTFT), DTFT spectrum 3) Frequency response, applications of DTFT 4) Digital filters, decibel, Signal to Nosie Ratio (SNR), sampling, quantization 5) Sampling rate conversion, Z-transform and its properties 6) System analysis via Z-transform 7) Systems with linear/minimum phase, Discrete Fourier Transform (DFT) 8) Properties of DFT, methods Overlap-Add, Overlap-Save, Fast Fourier Transform (FFT) 9) Practical spectral analysis, harmonic analysis 10) Basics of digital filtering, FIR filter design 11) FIR and IIR filter design 12) Applications of digital signal processing Practice: 1) Introduction to Matlab environment and selected math problems 2) Signal transforms, convolution in Matlab 3) Solving of differential equations in Matlab, direction of arrival of acoustic signal (DoA), DTFT spectrum 4) Frequency response, solving of differential equations via DTFT 5) LTI system interconnection, decibel, SNR, aliasing 6) Sampling rate conversion, Z transform of rational function, relation between Z and DFFT transforms 7) Inverse Z-transform, relations between various descriptions of LTI systems 8) Feedback systems, all-pass filters, computation of DFT via defining equation in Matlab 9) Circular convolution, FFT 10) Harmonic analysis 11) Comb filters, the IRT method for FIR filter design 12) Windowing and FIR filter design, digital filter design in Matlab 13) Applications of digital signal processing
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| Learning activities and teaching methods |
Monological explanation (lecture, presentation,briefing), Demonstration
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| Learning outcomes |
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The main goal of this course is to deepen student's theoretical and practical knowledge in the field of digital signal processing. The course is focused on design of various types of digital filters and on analysis of digital signals/systems via integral transforms (DTFT, DFT, Z). The emphasis is placed on practical implementation of discussed methods in Matlab environment. The course provides students with essential knowledge, allowing them to continue the study of diginal signals/systems individually.
Theoretic knowledge and practical skills from requered areas |
| Prerequisites |
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No condition of registration, SGI completion recommended
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| Assessment methods and criteria |
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Combined examination
Practicals: Succesful solving of short individual tasks (written form); successful implementation of basic tasks in Matlab environment, active discussion on topics given at lectures. Examination: Answered questions given in test (written form) and possible supplemental oral examination. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies | Study plan (Version): Automatic Control and Applied Computer Science (2016) | Category: Special and interdisciplinary fields | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies | Study plan (Version): Information Technology (2013) | Category: Informatics courses | 1 | Recommended year of study:1, Recommended semester: Summer |
| Faculty: Faculty of Mechatronics, Informatics and Interdisciplinary Studies | Study plan (Version): Mechatronics (2016) | Category: Special and interdisciplinary fields | 1 | Recommended year of study:1, Recommended semester: Summer |