The University of Southampton
Courses

ELEC3203 Digital Coding and Transmission

Module Overview

- To expand knowledge of techniques for information transmission via discrete (digital) channels, which have a wide area of applications, i.e. distributed computer systems, instrumentation and control systems, as well as communication systems of all types. - To introduce the basic concepts and applications of information theory and show its importance. - To develop skills in communications performance evaluation and digital transmission system design. - To concentrate attention on the application of the various analytical techniques. - To link theoretical concepts with cutting edge industrial standards.

Aims and Objectives

Module Aims

Understanding essential building blocks in modern digital communications systems. Understanding techniques for improving the efficiency and reliability of multimedia information. Design and characterise digital transmission components and schemes using Monte Carlo simulation. Bridge theoretical analysis with practical simulations and prototypes. Understanding various design trade-offs and practical implementation constraints.

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

  • Demonstrate specialised technical knowledge in digital coding and transmission.
Transferable and Generic Skills

Having successfully completed this module you will be able to:

  • Use IT facilities including word processing, spreadsheets, browsers and search engines to find technical information.
Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

  • Critically analyse and evaluate the extent to which designs and products meet the criteria defined for their current use and future developments, taking account of the impact of new and advancing technology to enhance current practice.

Syllabus

Information Theory - Information and entropy - Coding of memoryless sources: Shannon-Fano / Huffman coding - Sources with memory: Markov model - Coding of sources with memory - Channel model and information across channels - Average mutual information and channel capacity Digital Modulation and Optimal Reception - Quadrature amplitude modulation - Optimal transmit / receive filtering - ASK/PSK constellations, eye diagram - Channel distortions and their influence on reception - Synchronisation, equalisation - Adaptive equalisation Source Coding - Linear and non-linear quantisation, companding - Rate-distortion theory, predictive coding - Prediction gain, parametric and analysis-by-synthesis speech coding - Inter-frame video coding, motion compensation - Intra-frame video coding, transform coding Channel Coding - Convolutional coding - Viterbi decoding - Block coding - Hybrid ARQ Coding versus Modulation Tradeoff - Bandwidth and power trade-off plane - Bandwidth efficient and power efficient design - Trellis coded modulation - Bit interleaved coded modulation - System design in communications standards

Learning and Teaching

TypeHours
Lecture36
Tutorial12
Follow-up work18
Completion of assessment task2.5
Revision10
Preparation for scheduled sessions18
Wider reading or practice53.5
Total study time150

Resources & Reading list

L. Hanzo, T.H. Liew, B.L. Yeap (2002). Turbo Coding, TurboEqualisation and Space-Time Coding. 

L. Hanzo, L-L. Yang, E-L. Kuan and K. Yen (2003). Single- and Multi-Carrier CDMA: Multi-User Detection, Space-Time Spreading, Synchronisation andStandards. 

R. Steele, L. Hanzo (Ed) (1999). Mobile Radio Communications: Second and Third Generation Cellular and WATM Systems. 

L. Hanzo, F.C.A. Somerville, J.P. Woodard (2001). Voice Compression and Communications: Principles and Applications for Fixed and Wireless Channels. 

L. Hanzo, C.H. Wong, M.S. Yee (2002). Adaptive wireless transceivers: Turbo-Coded, Turbo-Equalised and Space- Time Coded TDMA, CDMA andOFDM systems. 

J.S. Blogh, L. Hanzo (2002). Third-Generation Systems and Intelligent Wireless Networking - Smart Antennas and Adaptive Modulation. 

L. Hanzo, M. Muenster, B.J. Choi and T. Keller (2003). OFDM and MC-CDMA for Broadband Multi-user Communications, WLANs and Broadcasting. 

L. Hanzo, P. Cherriman, J. Streit (2001). Wireless Video Communications: Second to Third Generation and Beyond. 

L. Hanzo, S.X. Ng, W.T. Webb, T. Keller (Sept. 2004). Quadrature Amplitude Modulation: From Basics to Adaptive Trellis- Coded, Turbo-Equalised and Space-Time Coded OFDM, CDMA and MC-CDMA Systems. 

Assessment

Summative

MethodPercentage contribution
Exam  (2.5 hours) 100%

Referral

MethodPercentage contribution
Exam 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisites: ELEC2220 Control And Communications 2017-18, ELEC2221 Digital Systems And Signal Processing 2017-18

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