EE4000 - Signal Processing 3
| Credit points: | 03 |
| Year: | 2017 |
| 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
- 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: | At least 48 credit points from subjects in Bachelor of Engineering |
Availabilities | |
| Townsville, Internal, Study Period 1 | |
| Census Date 23-Mar-2017 | |
| Coord/Lect: | Dr Owen Kenny. |
| Contact hours: |
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| 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.