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EE4000 - Signal Processing 3

Credit points: 3
Year: 2021
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

Software and Theory: The sampling and processing of signals in a digital environment, including effects of sampling, aliasing, time domain to frequency domain transforms, convolution and correlation of sequences, window and filter specification, specification and design of IIR and FIR filters.Hardware: Analogue to digital and digital to analogue converters, direct digital synthesis. Digital down conversion, decimation and interpolation. Digital signal processing engines.

Learning Outcomes

  • specify and select components required for a DSP based radio receiver;
  • write specification and using these to design digital FIR and IIR filters;
  • define the characteristics of sampled signals and mechanisms for sampling;
  • explain the principles, application and interpretation of Convolution and Correlation (in terms of digital signal processing);
  • describe the principles, application and interpretation of Discrete and Fast Fourier Transforms;
  • explain the principles, application and interpretation of windowing techniques, the Z- transform and Bilinear Z-transform;
  • explain the properties and limitations of DSP hardware.

Subject Assessment

  • Written > Examination (centrally administered) - (65%) - Individual
  • Written > Test/Quiz 1 - (10%) - Individual
  • Written > Problem task - (15%) - Individual
  • Performance/Practice/Product > Practical assessment/practical skills demonstration - (10%) - Individual.
Prerequisites: At least 48 credit points from subjects in Bachelor of Engineering or Admission to Master of Engineering (Professional)


Townsville, Study Period 1, Internal
Census Date 25-Mar-2021
Coord/Lect: Dr Owen Kenny.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures (didactic or interactive)
  • 26 hours tutorials
  • 12 hours practicals
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.