Digital Signal Processing (H6100)

15 credits, Level 6

Spring teaching

The module covers DSP topics, including digital signals and sampling requirements, dasic types of digital signals and quantisation error.

It is followed by the topics:

  • time-domain analysis – linear-time-invariant system, Block Diagram for LTI systems, impulse response, convolution sum, difference equations.
  • frequency-domain analysis – the discrete Fourier Series, Fourier transform of aperiodic digital sequences, frequency responses.


The z transform topic includes:

  • z-transform and inverse z-transform
  • z-transform properties
  • z-plane pole-zero representations
  • stability of a system
  • evaluation of the Fourier Transform in Z-Plane
  • characteristics of 1st and 2nd order systems. 


For Filter design topic, it includes:

  • non-recursive (FIR) filters
  • Fourier technique of designing non-recursive filters
  • truncation and windowing
  • recursive (IIR) filter design
  • bilinear transformation methods.


You will also cover Discrete Fourier transform (DFT) and its relation to CFT, Fast Fourier transform (FFT), Basic Spectral Analysis, Spectra of Harmonics, Spectral leakage, Windowing, and Effects of Windows and an introduction to random digital signals.

Teaching

79%: Lecture
21%: Practical (Laboratory)

Assessment

20%: Coursework (Report)
80%: Examination (Unseen examination)

Contact hours and workload

This module is 150 hours of work. This breaks down into 28 hours of contact time and 122 hours of independent study.

This module is running in the academic year 2019/20. We also plan to offer it in future academic years. It may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.