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Curricular information is subject to change
You will learn fundamental concepts in DSP:
- Signal classification
- discrete Fourier analysis, z-transforms
- Linear Time-Invariant (LTI) systems
- Digital filtering
- Spectral analysis
- The Fast Fourier Transform (FFT) algorithm
You will also gain hands-on experience of computer based DSP algorithms using Matlab software.
Analysis of discrete signals, and discrete filtering.
Student Effort Type | Hours |
---|---|
Lectures | 36 |
Tutorial | 4 |
Laboratories | 14 |
Autonomous Student Learning | 66 |
Total | 120 |
EEEN3003J
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: Final exam | 2 hour End of Trimester Exam | No | Graded | No | 85 |
Continuous Assessment: Labs | Throughout the Trimester | n/a | Graded | No | 15 |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Group/class feedback, post-assessment
Class feedback integrated into lectures. Individual feedback on request.