Advanced Digital Signal Processing (102H6)

15 credits, Level 7 (Masters)

Autumn teaching

This module covers the theory and applications of digital signal processing.

You study:

  • the revision of linear systems theory, discretisation, Fourier, Laplace, and z-transforms
  • the relationship between z and s planes, stability, poles and zero locations
  • a detailed discussion of the system response, convolution and correlation functions
  • design methods for finite impulse response (FIR) and infinite impulse response (IIR) digital filters
  • the discrete and fast Fourier transform algorithm
  • two-dimensional filtering for image and video processing along with the discrete cosine transforms for image compression.

Lectures are supported by laboratory sessions in which the filtering techniques are implemented on DSP hardware, coding in both C and Matlab.

Teaching

56%: Lecture
44%: Practical (Laboratory)

Assessment

25%: Coursework (Software exercise)
75%: Examination (Unseen examination)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 36 hours of contact time and about 114 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2022/23. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.

Courses

This module is offered on the following courses: