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Curricular information is subject to change
The basics of Information Theory
Channel capacities of various channels
Exposure to some modern code, e.g. RS and LDPC codes
Techniques for encoding and decoding
Simulation of communication systems including channel, coding and decoders
1. A review of Probability & Statistics
2. Entropy & Mutual information
3. Brief discussion of source coding / data compression including Huffman coding
4. Wireless channel descriptions (AWGN, Rayleigh, MIMO)
5. Shannon's famous theory: Capacity of an AWGN channel
6. Extension to more complex channels
7. Convolutional codes & the Viterbi algorithm
8. Block codes & decoding techniques
Student Effort Type | Hours |
---|---|
Lectures | 36 |
Laboratories | 16 |
Total | 52 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: End of term exam | 2 hour End of Trimester Exam | No | Alternative linear conversion grade scale 40% | No | 70 |
Continuous Assessment: MATLAB based assignments | Throughout the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 30 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr Barry Cardiff | Lecturer / Co-Lecturer |
Mr Vaibhav Kumar | Lecturer / Co-Lecturer |
Dr Anshu Mukherjee | Lecturer / Co-Lecturer |
Dr Avishek Nag | Lecturer / Co-Lecturer |
Dr Pasika Ranaweera | Lecturer / Co-Lecturer |
Dr Xiping Wu | Lecturer / Co-Lecturer |