ENGP5300/ENGP5302 Coursework Assignment
| Module name | DSP and Embedded Systems / DSP, Control and Instrumentation |
| Module code | ENGP5300 / ENGP5302 |
| Title of the Assessment | Computational Analysis and Signal Processing Using MATLAB |
| This coursework item is | Summative |
| This summative coursework will be marked anonymously | Yes |
| The learning outcomes that are assessed by this coursework are | 1. Students should be able to demonstrate skills in research and development according to a variety of briefs |
| This coursework is | Individual |
| This coursework constitutes % of the overall module mark | 25% |
| In accordance with the University Assessment and Feedback Policy | Your marked coursework and feedback will be available by 16/04/2026 |
| Feedback Note | You should normally receive feedback within 15 University working days after submission |
| Submission Method | Learning Zone |
| Late Submission Policy | Late submissions will be processed in accordance with current University regulations. Late submission up to 24 hours will be automatically capped at 40% |
| Academic Offences and Bad Academic Practices | Refer to Academic Offences and Academic Practice handbook and BaseCamp link for guidelines |
What to submit:
Your coursework must be submitted as a report in Word format. Your MATLAB codes must be provided as text (notpictures) and included as appendices at the end of the report. All codelines must be commented to explain them. Your answers must besupported by references as appropriate. All references must be in IEEE style. Please note that4 marks will be allocated to the presentation andorganisation of your report. Your report, excluding the cover page and MATLAB codes, must not exceed 12 pages (minimum font size 11 pt).
Part I
a) Write a MATLAB code that measures the CPU time needed to findthe nearest neighbour of every point in a 3D point cloud usingi) brute force and ii) the kd-tree method (seeKDTree Searcher -Create Kd-tree nearest neighbor searcher – MATLAB). The querypoints must be the points in the point cloud, and you must excludethe point itself from being returned as its own nearest neighbour.Do this comparison for the following point clouds: Stanford Bunny,Horse, Atenea, and Venus, which are available here:3D Models. Discuss your results.(5 marks)
b) Provide a three-minute video explaining and demonstrating yourwork. Your video should show your MATLAB workspace and codeexecution.(3 marks)
Part II
a) You are given a noisy audio signal (speech_noisy.wav). Design and implement a digital filter in MATLAB that aims at removing thenoise while preserving speech intelligibility. Begin by analysing the signal’s frequency content (use the magnitude spectrum andspectrogram). Then, justify your chosen filter type and cutofff requencies. Demonstrate the effectof your filter on the signal’sfrequency content and speech quality.(5 marks)
b) Provide a three-minute video explaining and demonstrating yourfilter. Your video should show your MATLAB workspace and codeexecution.(3 marks)
Part III
Using JPEG and JPEG2000, compress the MATLAB built-in imageonions.png at four bitrates. For each bitrate, compute the PSNR andcompare visual artifacts. Justify your design and discuss the results ofyour experiment.(5 marks)
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