Show/hide contentOpenClose All
Curricular information is subject to change
The students will learn how to design an optimum receiver for any digital modulation system based on signal space concepts. The concepts learned in class will also be supported by assignments that will further enhance the students' understanding through "learning-by-doing".
Indicative Module Content:Basics of Probability Theory, Signal-Space Concepts, Gram-Schmidt Procedure, Optimum Receiver Design for Binary signals in AWGN Channels, Optimum Receiver Design for M-Ary signals in AWGN Channels, Probability of Error Analyses, Information Theory, Linear Block Codes, Convolutional Codes, Viterbi Algorithm, OFDM systems.
Student Effort Type | Hours |
---|---|
Autonomous Student Learning | 60 |
Lectures | 30 |
Laboratories | 12 |
Total | 102 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): End of term exam | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 40 |
No |
Exam (In-person): Mid term exam | End of trimester Duration: 1 hr(s) |
Alternative linear conversion grade scale 40% | No | 20 |
No |
Assignment(Including Essay): Matlab assignments | Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12, Week 14, Week 15 | Alternative linear conversion grade scale 40% | No | 40 |
No |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr Avishek Nag | Lecturer / Co-Lecturer |
Dr Pasika Ranaweera | Lecturer / Co-Lecturer |