Postgraduate Course: Advanced Coding Techniques (MSc) (PGEE11121)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course will cover current topics of interest in Advanced Coding Techniques. It will discuss different approaches to quantization using both scalar and vector quantization approaches. Information theory fundamentals related to source coding are also studied. Rate-distortion theory and quantisation for different types of signals are discussed. Practical examples of the above concepts are presented throughout the course. |
| Course description |
1. Introduction
2. Scalar Quantisation
3. Asymptotic Scalar Quantisation Theory and Variable Rate Encoding
4. Vector Quantisation
5. Rate Distortion Theory
6. Practical System Examples.
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Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand fundamentals as well as advanced concepts in source coding.
- Quantify the bit rate that is theoretically needed to perform source coding of continuous-valued signals with some given maximum distortion.
- Explain the complexity-quality trade-offs and performance limits for different types of quantization scheme.
- Design scalar and vector quantisers for practical signals.
- Understand modern approaches to quantisation with machine learning.
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Reading List
A. Gersho and R. M. Gray, Vector Quantization and Signal Compression. Kluwer Academic Publishers, 8th ed., 2001.
T. Cover and J. Thomas, Elements of Information Theory. John Wiley & Sons, Inc., 1991. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | : Coding,Quantisation,Rate Distortion Theory,Channel Capacity |
Contacts
| Course organiser | Dr John Thompson
Tel: (0131 6)50 5585
Email: John.Thompson@ed.ac.uk |
Course secretary | Ms Ilaria Monfroni
Tel:
Email: imonfron@ed.ac.uk |
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