An introduction to techniques of digital signal processing for deterministic signals: discrete-time and linear time-invariant systems, difference equation description, the Z-transform, and advanced applications such as FIR filter design.
|Paper title||Digital Signal Processing|
|Teaching period||Second Semester|
|Domestic Tuition Fees (NZD)||$666.57|
|International Tuition Fees (NZD)||$2,895.09|
- Limited to
- BSc(Hons), PGDipSci, MSc, MAppSc
- Teaching staff
- Textbooks are not required for this paper.
- Graduate Attributes Emphasised
- Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship,
Communication, Critical thinking, Information literacy, Research, Self-motivation,
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- Learning Outcomes
- By the end of the module students are expected to be able to:
- Understand the consequences of the sampling theorem
- Convert between continuous-time and discrete-time signals by using sampling theorem
- Classify discrete-time signals and linear time-invariant systems using difference equations description
- Apply the Z-transform to discrete-time signals and systems
- Perform simple manipulations on Z-transforms, in particular find solutions to some simple systems given by their difference equations or their block diagrams
- Determine the stability of a linear time-invariant system based on its poles and zeros structure
- Design elementary infinite impulse response (IIR) and finite impulse response (FIR) filters
- Construct Matlab functions using the built-in DSP toolbox corresponding to FIR filter specifications