Course Code: KIE3007
Course Title: Digital Signal Processing
Credit Hour: 3
Course Description: The definition of continuous time (analogue), discrete time and digital signals, Fourier series and Fourier Transform is discussed. The discrete time linear time-invariant (LTI) signal processing systems and the application of the time-domain convolution and the Discrete Time Fourier transform (DTFT) in analyzing LTI systems are also discussed. The design of FIR digital filters and introduction to z-transforms and IIR type discrete time filters are covered in detail. The Discrete Fourier Transform (DFT) and the implementation of the DFT by the fast Fourier Transform is also covered.
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COURSE LEARNING OUTCOMES (CLO) |
PROGRAMME LEARNING OUTCOMES (PLO) |
METHOD OF ASSESSMENT & ASSESSMENT WEIGHTAGE |
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| PLO3 | PLO5 | PLO11 | ||
| 1. Analyze the LTI systems using difference equations, DTFT and Z-transforms. | ✔ | Test (10%) and final examination (20%) | ||
| 2. Perform Fourier analysis of signals using the discrete Fourier transform. | ✔ | Test (10%) and final examination (20%) | ||
| 3. Design FIR and IIR type digital filters. | ✔ | Final examination (20%) | ||
| 4. Apply DSP in image and speech processing. | ✔ | Assignment (20%) | ||
Course resources will be made available on the SPeCTRUM site.
Last Update: 22/09/2021