EE4000 - Signal Processing 3
|Student Contribution Band:
||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.
- 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
- 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.
- end of semester exam (50% - 70%)
- on-course assessment, some of which may be invigilated (30% - 50%).
||At least 48 credit points from subjects in Bachelor of Engineering or Admission to
Master of Engineering (Professional)
Study Period 1
|Census Date 26-Mar-2020
||Dr Owen Kenny.
The student workload for this
credit point subject is approximately
- 26 hours lectures
- 26 hours tutorials
- 12 hours practicals
- assessment and self-directed study
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