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EE50229: Electronic communication systems

[Page last updated: 02 August 2022]

Academic Year: 2022/23
Owning Department/School: Department of Electronic & Electrical Engineering
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: EX 100%
Assessment Detail:
  • Examination (EX 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: After successfully completing this unit the student will be able to:
Demonstrate a critical and detailed understanding of the key techniques in modern electronic communication systems.
Demonstrate the ability to apply techniques to optimize the efficiency of communication links in electronic systems.
Demonstrate a detailed knowledge of statistical behaviour of electronic transmission systems.
Demonstrate the ability to apply the concepts and principles of electronic communication systems.

Aims: To provide a detailed understanding of the essential techniques for electronic communication systems.

Skills: Problem solving: numeracy; working independently (TFA).
Use IT to collect, analyse and present technical information; solve problems, communicate effectively and retrieve information (TFA).
Use appropriate professional simulation and design tools (TFA).
Employ a range of established and new techniques to review and critically analyse information concerning engineering problems, and to propose and implement solutions in a professional manner (TFA).

Content: Fundamentals of information and entropy, entropy coding schemes and communication system models.
Modulation schemes (QAM, PAM, ASK, PSK), constellations and eye diagrams.
Channel distortion, clock recovery, adaptive equalization.
Transmission and receiver architectures.
Video and audio coding and transmission.
Channel coding (Block, Convolution, Viterbi).
Design trade-offs in practical communications systems design.

Programme availability:

EE50229 is Optional on the following programmes:

Department of Computer Science
  • RSCM-AFM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • RSCM-APM51 : Integrated PhD Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM51 : MRes Accountable, Responsible and Transparent Artificial Intelligence
  • TSCM-AFM52 : MSc Accountable, Responsible and Transparent Artificial Intelligence
Department of Electronic & Electrical Engineering

Notes:

  • This unit catalogue is applicable for the 2022/23 academic year only. Students continuing their studies into 2023/24 and beyond should not assume that this unit will be available in future years in the format displayed here for 2022/23.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.