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 module 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: 2012/13 Semester 2, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Tutorial | | 1-11 | 12:10 - 13:00 | | | | | | King's Buildings | Lecture | | 1-11 | 10:00 - 12:00 | | | | | | King's Buildings | Lecture | | 1-11 | | | | | 11:10 - 13:00 |
| First Class |
First class information not currently available |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
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| Main Exam Diet S2 (April/May) | | 2:00 | | |
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% open-book 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 | Prof Harald Haas
Tel: (0131 6)50 5591
Email: |
Course secretary | Mrs Kim Orsi
Tel: (0131 6)50 5687
Email: |
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