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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Coding in digital communications

The course is not on the list Without time-table
Code Completion Credits Range Language
B2M37KDKA Z,ZK 6 3P+1C Czech
Corequisite:
Safety in Electrical Engineering for a master´s degree (BEZM)
Lecturer:
Tutor:
Supervisor:
Department of Radioelectronics
Synopsis:

This course extends and deepens the topics of the basic communication theory courses in the following main areas. 1) Advanced information theory in coding and Network Information Theory develop a framework for understanding the principles of the channel coding in single-user and multi-node/multi-user scenarios. 2) The algebraic coding presents classical topics of block and convolutional codes. 3) Advanced coding technique focuses on turbo, LDPC, Space-Time codes and Wireless Network Coding. 4) Advanced decoding technique, namely iterative and multi-user decoding is a fundamental tool for decoding capacity approaching channel codes.

Requirements:
Syllabus of lectures:

1. Advanced Information Theory in coding (coding theorem, feed-back, erasure, BSC, Outage Capacity)

2. Network Information Theory (1/2) (Rate Regions, Advanced MU Sharing)

3. Network Information Theory (2/2) (Rate Regions, Advanced MU Sharing)

4. Algebraic coding (GF(M^m))

5. Block Codes (cyclic codes)

6. Convolutional Codes (nonrecursive/recursive, polynomial formalism, General Transfer Function)

7. Advanced Coding - Turbo-Codes

8. Advanced Coding - LDPC

9. Iterative Decoding (Soft-In Soft-Out block, Forward-Backward algorithm)

10. Iterative Processing on Factor Graph (FG Sum-Product algorithm)

11. Space-Time Codes - design and performance criteria

12. Space-Time Codes (Block STC, Trellis STC, Layered STC)

13. Multi-User decoding

14. Elements of Wireless Network Coding (WNC, NC)

Syllabus of tutorials:

1. Information theory and coding theorem in single user system

2. Information theory and coding theorem in multi user system

3. Adaptive systems

4. Space-time MIMO systems

5. Advanced algorithms for block and convolutional coding

6. Turbo and LDPC coding and iterative decoding

7. Space-time coding

Study Objective:
Study materials:

1. T. M. Cover, J. A. Thomas: Elements of Information Theory, John Wiley &Sons, ed.2, 2006

2. J. G. Proakis: Digital Communications. McGraw-Hill. 2001

3. Goldsmith: Wireless communications, Cambridge University Press, 2005

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-18
For updated information see http://bilakniha.cvut.cz/en/predmet5593206.html