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Biosignal Processing (BMEN90035)
Graduate courseworkPoints: 12.5On Campus (Parkville)
You’re currently viewing the 2024 version of this subject
Overview
Availability | Semester 2 |
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Fees | Look up fees |
This subject teaches the fundamentals of signal processing in a biomedical engineering context. Students will be introduced to digital sampling of analog signals, frequency domain analysis, design of digital filters, parameter estimation techniques and Wiener and Kalman filtering. The subject includes analysis and design for biomedical engineering applications.
Intended learning outcomes
On completion of this subject, students should be able to:
- Design and evaluate digital sampling and filtering systems.
- Apply frequency-domain techniques in the analysis and design of signal processing systems.
- Design, implement and analyse algorithms for solving estimation problems.
- Analyse and design software for signal processing systems, focussing on signals relevant to biomedical engineering problems and applications.
Generic skills
- Ability to communicate effectively, with the engineering team and with the community at large
- Ability to manage information and documentation
- Understanding of professional and ethical responsibilities, and commitment to them
- Ability to function effectively as an individual and in multidisciplinary and multicultural teams, as a team leader or manager as well as an effective team member
- Ability to undertake problem identification, formulation and solution
- Ability to utilise a systems approach to design and operational performance
- Understanding of the principles of sustainable design and development
- Capacity for independent critical thought, rational inquiry and self-directed learning
Last updated: 8 November 2024