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Signal Processing

Module Aims

  • This module will introduce students to digital signal processing techniques that includes analogue to digital and digital to analogue conversions, design of infinite impulse response (IIR) and finite impulse response (FIR) filters and Fourier transforms techniques.
  • The module aims to let students understand the scientific principles underlying the generation and processing of signals.
  • The fundamental principles for analysing the systems in both time and frequency domains will be covered.
  • A brief introduction of digital image processing techniques will be presented.
  • To enhance student understanding, different techniques will be demonstrated using simulations and practical laboratory sessions.

At the end of the module students will be able to:

  • Understand the difference of continuous and discrete time signals and systems.
  • Understand the signal representation in both time and frequency domains.
  • Describe the effect of noise in digital systems.
  • Understand the fundamental principles of sampling and reconstruction of continuous-time signals.
  • Understand the use the Fourier Transform, the Fast Fourier Transform and the Z-Transform to for analysing signals.
  • Design finite impulse response and infinite impulse response digital filters and apply them to practical signal processing problems.
  • Define and describe the basic concepts associated with digital images and apply some basic digital image processing algorithms.