Studying at York
Principles of DSP - ELE00055H
- Department: Electronic Engineering
- Credit value: 10 credits
- Credit level: H
- Academic year of delivery: 2022-23
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Spring Term 2022-23 to Summer Term 2022-23 |
Module aims
Subject content aims:
- To introduce and develop an understanding of the discrete Fourier transform.
- To introduce and develop an understanding of discrete convolution and discrete correlation.
- To develop the sampling theorem for sampling and reconstructing an analogue signal.
- To introduce, develop the theory for, and compare the performance of FIR and IIR filters
- To introduce machine learning techniques for digital signal processing by studying deep convolutional neural networks for image and audio processing.
- To relate the theory to practical applications in digital signal processing.
Graduate skills aims:
-
To develop skills in the selection and application of appropriate numeric and algebraic techniques
Module learning outcomes
Subject content learning outcomes
After successful completion of this module, students will:
- Be able to apply the discrete Fourier transform for analysis of a range of signals.
- Be able to design a digital filter based on a given specification.
- Be able to design and implement a variety of DSP algorithms in MATLAB.
Graduate skills learning outcomes
After successful completion of this module, students will:
- Be able to actively participate in informal individual and group activities
- Be able to explain and evaluate advanced technical concepts concisely and accurately
- Be able to select, adapt and apply a range of mathematical techniques to solve advanced problems
- Have developed skills in problem solving, critical analysis and applied mathematics
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100 |
Module feedback
'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments.
A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback. This can be found at https://www.york.ac.uk/students/studying/assessment-and-examination/guide-to-assessment/
The Department of Electronic Engineering aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. Students are provided with their examination results within 20 working days of the end of any given examination period. The Department will also endeavour to return all coursework feedback within 20 working days of the submission deadline. The Department would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The Department will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.
Indicative reading
- Cunningham, EP, ‘Digital Filtering: An introduction’, Wiley, 1995. ISBN 0-471-12475-3
- Mulgrew, B, Grant, P & Thompson, J, 'Digital Signal Processing: Concepts and Applications', Palgrave 2nd Edition, 2003. ISBN 0-333-96356-3