Subject description - AE0B31ZZS
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| AE0B31ZZS |
Basic Signal Processing |
| Roles: | |
Extent of teaching: | 2P+2C |
| Department: | 13131 |
Language of teaching: | EN |
| Guarantors: | |
Completion: | Z,ZK |
| Lecturers: | |
Credits: | 4 |
| Tutors: | |
Semester: | Z |
Anotation:
The introductory subject to the study of Digital Signal Processing. The main emphasis is focused on the interpretation and acquirement of the basic principals. Practical approaches and real examples from different areas (music, biomedical engineering, speech processing communication systems) are used.
The program system MATLAB is used for the tasks solution, which offers comfortable and user friendly environment with graphical and sound outputs and allows digital signal processing in different formats.
Study targets:
The aim of the study is theoretical and practical knowledge in the fundamentals of digital signal processing.
Course outlines:
| 1. | | Introduction to digital signal processing |
| 2. | | Sinusoidal signal generation |
| 3. | | Signals in frequency domain, sinusoidal synthesis and analysis |
| 4. | | Aliasing, sampling theorem, analysis of real signals in time domain |
| 5. | | Simple first order digital filters, digital differentiators and integrators |
| 6. | | Second-order digital filters - resonators |
| 7. | | Audio application of digital filters, artificial reverberation, audio effects |
| 8. | | Image processing using 1-d filters |
| 9. | | DFT and FFT, windowing, , leakage, time and frequency resolution |
| 10. | | User digital FIR and IIR filter realisation |
| 11. | | Resampling systems |
| 12. | | Audio modulation synthesis |
| 13. | | Application for communication - DTMF |
| 14. | | Quantization |
Exercises outline:
| 1. | | Introduction to MATLAB environment, vector and matrix generation, load, plot, sound |
| 2. | | Musical scale generation, DTMF signaling, Morse code |
| 3. | | Additive synthesis of birds, music instruments and vowels |
| 4. | | Short-time speech characteristics, time envelopes, speech-pause detector |
| 5. | | Speech filtering, envelope detectors, peak detector of EMG activity |
| 6. | | Subtractive synthesis waves and wind, narrowband filtering, noise cancellation |
| 7. | | MA filters, comb and all-pole filters, Karplus-Strong algorithm to synthesise guitar |
| 8. | | Images, histogram, filters, bright and contrast, edge detection using 1-d filters |
| 9. | | Practical spectral analysis, periodogram, spectrogram, waterfall |
| 10. | | FIR filter design for EEG rythm separation, biosignal acquisition |
| 11. | | Wavetable synthesis of banjo, decimation, interpolation, resampling |
| 12. | | Ring modulation, AM, synthetic bells, instruments, everyday sound |
| 13. | | Filter design, coder, decoder, noise influence |
| 14. | | Quantization error, filter coefficient quantization, limit cycles |
Literature:
| 1. | | McClellan, J.H, Schafer, R.W., Yoder, M.A..: DSP First, A multimedia Approach, Prentice-Hall, Inc., New Jersey, 1998 |
| 2. | | Openheim, A.V., Schafer, R.W.: Discrete-Time Signal Processing. Prentice-Hall, Inc., New Jersey, 1998 |
| 3. | | Ambardar, A., Borghesani, C.: Mastering DSP Concepts using MATLAB. Prentice-Hall, Inc., New Jersey, 1998 |
Requirements:
The condition for granting credit is elaboration of selected task in MATLAB.
Keywords:
Digital Signal Processing
Subject is included into these academic programs:
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| Page updated 17.4.2025 17:51:21, semester: L/2024-5, Z/2026-7, L/2025-6, L/2026-7, Z/2025-6, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |