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EE4000 - Signal Processing 3

Credit points: 3
Year: 2014
Student Contribution Band: Band 2
Administered by: School of Engineering (pre 2015)

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

  • ability to specify and select components required for a DSP based radio receiver;
  • ability to write specification and using these to design digital FIR and IIR filters;
  • to understand the characteristics of sampled signals and mechanisms for sampling;
  • to understand the principles, application and interpretation of Convolution and Correlation (in terms of digital signal processing);
  • to understand the principles, application and interpretation of Discrete and Fast Fourier Transforms;
  • to understand the principles, application and interpretation of windowing techniques, the Z-transform and Bilinear Z-transform;
  • to understand the properties and limitations of DSP hardware.
Prerequisites: EE3001

Availabilities

Townsville, Internal, Study Period 1
Census Date 27-Mar-2014
Coord/Lect: Dr Owen Kenny.
Workload expectations:
  • 65 hours - Lectures, tutorials, demonstrations, practicals, site visits and/or seminars. Refer to Subject Outline for details.
Assessment: end of semester exam (50% - 70%); on-course assessment, some of which may be invigilated (30% - 50%).

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.