Digital Signal Processing in Telecommunication
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
BE2M32DZSA | Z,ZK | 6 | 2P + 2L | English |
- Garant předmětu:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Telecommunications Engineering
- Synopsis:
-
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.
- Requirements:
-
Solid knowledge of the basics in the digital signal processing, advantageously in the extent of [1].
- Syllabus of lectures:
-
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.
- Syllabus of tutorials:
-
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.
- Study Objective:
-
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.
- Study materials:
-
[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
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
-
- Electronics and Communications - Mobile Communications (compulsory elective course)