Postgraduate Course: Advanced Digital Communications (PGEE11028)
Course Outline
School | School of Engineering |
College | College of Science and Engineering |
Course type | Standard |
Availability | Available to all students |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 20 |
Home subject area | Postgrad (School of Engineering) |
Other subject area | None |
Course website |
None |
Taught in Gaelic? | No |
Course description | This 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.
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.
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Information for Visiting Students
Pre-requisites | None |
Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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Delivery period: 2014/15 Semester 2, Available to all students (SV1)
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Learn enabled: Yes |
Quota: None |
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Web Timetable |
Web Timetable |
Course Start Date |
12/01/2015 |
Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
200
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Lecture Hours 22,
Seminar/Tutorial Hours 11,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
163 )
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Additional Notes |
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Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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Main Exam Diet S2 (April/May) | | 2:30 | |
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
100% formal written examination |
Special Arrangements
None |
Additional Information
Academic description |
Not entered |
Syllabus |
Not entered |
Transferable skills |
Not entered |
Reading list |
Not entered |
Study Abroad |
Not entered |
Study Pattern |
Not entered |
Keywords | source coding, quantisation, rate-distortion theory, channel coding, channel capacity, turbo codes, |
Contacts
Course organiser | Dr John Thompson
Tel: (0131 6)50 5585
Email: |
Course secretary | Mrs Sharon Potter
Tel: (0131 6)51 7079
Email: |
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© Copyright 2014 The University of Edinburgh - 13 February 2014 1:56 pm
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