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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2014/2015
- ARCHIVE as at 1 September 2014

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DRPS : Course Catalogue : School of Engineering : Electronics

Undergraduate Course: Advanced Digital Communications 5 (ELEE11084)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Year 5 Undergraduate) Credits20
Home subject areaElectronics Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThis course will cover the current topics of interest in Advanced Digital Communications. In particular information theory fundamentals related to source and channel coding, modulation of signals and channel capacity are studied. Rate-distortion theory and quantisation for uncorrelated and correlated signals are of particular interest.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites It is RECOMMENDED that students have passed ( Digital Signal Analysis 4 (ELEE10010) AND Digital Communications 4 (ELEE10006))
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
The students will understand fundamentals as well as advanced concepts in digital communications. They will be able to quantify the bit rate that is theoretically needed to perform source coding of continuous-valued signals with some given maximum distortion. They will be able to explain the complexity-quality tradeoffs in practical systems and they will be able to quantify how close practical quantisation and channel-coding algorithms can get to the theoretical limits given by information theory. They will be able to design scalar and vector quantisers and linear predictive coding schemes for practical signals and they will be able to understand and apply modern channel coding concepts and digital modulation schemes in a given practical problem setting.
Assessment Information
examination (100%)
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Scalar quantisation, asymptotic quantisation theory, vector quantisation, rate-distortion theory, linear prediction and model-based source coding, multimedia source codecs (overview); the separation principle of information theory, digital modulation, channel coding, convolutional codes, Viterbi and soft-in/soft-out decoding, Turbo codes, codes for error detection.
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
KeywordsNot entered
Contacts
Course organiserDr John Thompson
Tel: (0131 6)50 5585
Email: John.Thompson@ed.ac.uk
Course secretaryMrs Sharon Potter
Tel: (0131 6)51 7079
Email: Sharon.Potter@ed.ac.uk
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