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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||
Not applicable to this module.
|Description||Timing||Component Scale||% of Final Grade|
|Assignment: Multiple MATLAB Assignments.||Varies over the Trimester||n/a||Alternative linear conversion grade scale 40%||No||
|Examination: Mid-Term Examination||Week 7||No||Alternative linear conversion grade scale 40%||No||
|Examination: Final Examination||2 hour End of Trimester Exam||No||Alternative linear conversion grade scale 40%||No||
|Remediation Type||Remediation Timing|
|In-Module Resit||Prior to relevant Programme Exam Board|
• Group/class feedback, post-assessment
Not yet recorded.
|Dr Avishek Nag||Lecturer / Co-Lecturer|