Principles of DSP - ELE00055H

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  • Department: Electronic Engineering
  • Module co-ordinator: Dr. David Halliday
  • Credit value: 10 credits
  • Credit level: H
  • Academic year of delivery: 2019-20
    • See module specification for other years: 2018-19

Module will run

Occurrence Teaching cycle
A Spring Term 2019-20 to Summer Term 2019-20

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 the z-transform and describe the relationship between the Laplace and z-transforms.
  • 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

Assessment

Task Length % of module mark
University - closed examination
Principles of DSP
1.5 hours 100

Special assessment rules

None

Reassessment

Task Length % of module mark
University - closed examination
Principles of DSP
1.5 hours 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



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.