Subject description - BE2M32DZSA
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Explanatory Notes
Instructions
Anotation:
The goal of the subject is to make familiar with theory, methods and implementation of algorithms of the digital signal processing of one- and multi-dimensional signals related to the telecommunication technology.
Study targets:
The aim of the study is to acquire the knowledge in theory, methods and implementation of algorithms of the digital signal processing of one- and multi-dimensional signals related to the telecommunication technology.
Course outlines:
| 1. | | Sampling of continuous analog signals and their digitization. |
| 2. | | Integral transforms and their discrete counterparts. |
| 3. | | Decimation and interpolation, general sample rate conversion. |
| 4. | | Design of FIR filters. |
| 5. | | Design of IIR filters. |
| 6. | | Design of optimal FIR filters, narrow-band filters, comb filters, finite word length. |
| 7. | | Adaptive filtering, echo attenuation. |
| 8. | | Compression of acoustic signals. |
| 9. | | 2-D and n-D signals and systems. |
| 10. | | Design of 2-D FIR filters, separable, non-separable. |
| 11. | | Image compression. |
| 12. | | Video compression. |
| 13. | | Implementation of DSP algorithms. |
| 14. | | Architectures of digital signal processors. |
Exercises outline:
| 1. | | Matlab - Sampling of continuous analog signals and their digitization. |
| 2. | | Matlab - CTFT, DTFT, DFT, FFT, KLT. |
| 3. | | Matlab - Decimation and interpolation, general sample rate conversion . |
| 4. | | Matlab - Design of FIR filters. |
| 5. | | Matlab - Design of IIR filters. |
| 6. | | Matlab - Design of optimal FIR filters, narrow-band filters, comb filters, finite word length. |
| 7. | | Matlab - Adaptive filtering, echo attenuation. |
| 8. | | Matlab - Compression of acoustic signals. |
| 9. | | Matlab - 2-D and n-D signals and systems. |
| 10. | | Matlab -Design of 2-D FIR filters, separable, non-separable. |
| 11. | | Matlab -Image compression. |
| 12. | | Matlab -Video compression. |
| 13. | | DSP C6x - Implementation of DSP algorithms. |
| 14. | | DSP C6x - Implementation of DSP algorithms-cont. |
Literature:
| [1] | | James H. McClellan, Ronald W. Schafer, Mark A. Yoder, Signal Processing First, Prentice Hall, 2003, ISBN 978-0130909992 |
| [2] | | Sanjit K. Mitra, Digital Signal Processing, 4th Edition, McGraw-Hill, 2010 |
| [3] | | Proprietary Materials for Lectures and Seminars |
| [4] | | Texas Instruments Teaching Materials provided by the tutor |
Requirements:
Solid knowledge of the basics in the digital signal processing, advantageously in the extent of [1].
Keywords:
Digital Signal Processing, Real-time, Implementation.
Subject is included into these academic programs:
| Page updated 23.4.2025 17:53:59, semester: Z/2025-6, Z/2026-7, Z,L/2024-5, L/2026-7, L/2025-6, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |