Subject description - BE2M32DZS

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BE2M32DZS Digital Signal Processing in Telecommunication Extent of teaching:2+2l
Guarantors:Šimák B. Roles:PO Language of
teaching:
EN
Teachers:Šimák B., Šusta M., Zahradník P. Completion:Z,ZK
Responsible Department:13132 Credits:5 Semester:Z

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 1-D 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 - CCS.
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:

Basics in the digital signal processing.

Webpage:

https://moodle.fel.cvut.cz

Keywords:

Digital Signal Processing, Real-time, Implementation.

Subject is included into these academic programs:

Program Branch Role Recommended semester
MEEK1_2016 Communication Systems and Networks PO 1


Page updated 23.7.2019 17:52:57, semester: Z,L/2020-1, L/2018-9, Z,L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)