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EE3010 - Digital Signal Processing

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 use 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 > Examination - In class - (10%) - Individual
  • Assignment - (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)
Inadmissible
Subject
Combinations:
EE4000

Availabilities

Townsville, Internal, Study Period 1
Census Date 25-Mar-2021
Workload expectations:

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

  • 12 hours practicals
  • 26 hours workshops
  • 26 hours online interactive lectures
  • assessment and self-directed study

Cairns, Internal, Study Period 1
Census Date 25-Mar-2021
Workload expectations:

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

  • 12 hours practicals
  • 26 hours workshops
  • 26 hours online interactive lectures
  • 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.