Research Thesis Topic
Analysing Multi-variable Signals Using Wavelet Based Independent Component Analysis
This project aims to develop an Independent Component Analysis (ICA) method to analyse multi-variable signals, especially agricultural and environmental signals, and brain signals from a specific brain disorder disease (such as epilepsy and dementia etc) from EEG recordings. ICA becomes one of the exciting topics both in the fields of signal processing and artificial intelligence.
An interested student will join a strong research group with cross-discipline knowledge. Some financial support is possible for a student with a good academic record and interested in further postgraduate studies.
- School of Agricultural, Computational and Environmental Sciences
- Artificial Intelligence and Image Processing
- Electrical and Electronic Engineering
Please review the admission requirements for the academic program associated with this Thesis Topic