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Unit of study_

ELEC3305: Digital Signal Processing

This unit aims to teach how signals are processed by computers. It describes the key concepts of digital signal processing, including details of various transforms and filter design. Students are expected to implement and test some of these ideas on a digital signal processor (DSP). Completion of the unit will facilitate progression to advanced study in the area and to work in the industrial use of DSP. The following topics are covered. Review of analog and digital signals. Analog to digital and digital to analog conversion. Some useful digital signals. Difference equations and filtering. Impulse and step response of filters. Convolution representation of filters. The Z-transform. Transfer functions and stability. Discrete time Fourier transform (DTft) and frequency response of filters. Finite impulse response (FIR) filter design: windowing method. Infinite impulse response (IIR) filter design: Butterworth filters, Chebyshev filters, Elliptic filters and impulse invariant design. Discrete Fourier Transform (Dft): windowing effects. Fast Fourier Transform (Fft): decimation in time algorithm. DSP hardware.

Code ELEC3305
Academic unit Electrical and Information Engineering
Credit points 6
Prerequisites:
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ELEC2302
Corequisites:
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None
Prohibitions:
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None
Assumed knowledge:
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Familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals.

At the completion of this unit, you should be able to:

  • LO1. Demonstrate mastery of analytical and mathematical skills related to signal processing. These include convolutions, transforms, spectral analyses, linear difference equations, filters, correlation and covariance, rudimentary information theory.
  • LO2. Demonstrate proficiency in developing signal processing software to solve signal processing problems and tasks. These include spectral analyses, filtering, inverse filtering, resampling, signal modelling, signal analyses, deep learning for signals.
  • LO3. Plan, design, and review signal processing systems.
  • LO4. Apply diverse strategies to develop and implement innovative ideas in signal processing systems.
  • LO5. Present compelling oral, written, and graphic evidence to communicate signal processing practice.
  • LO6. Contribute as an individual to a team to deliver signal processing related projects.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.

There are no unit outlines available online for previous years.