Subject description - B2M32DZSA
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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. |
[2] | | Sanjit K. Mitra, Digital Signal Processing, 4th Edition, McGraw-Hill, 2010. |
[3] | | Rulph Chassaing, Donald S. Reay, Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK, 2nd Edition, John Wiley, 2008. |
[4] | | Proprietary Materials for Lectures and Seminars |
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 28.3.2024 17:52:49, semester: Z/2023-4, Z/2024-5, L/2023-4, Send comments about the content to the Administrators of the Academic Programs |
Proposal and Realization: I. Halaška (K336), J. Novák (K336) |