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Research Thesis Topic

Analysing Multi-variable Signals Using Wavelet Based Independent Component Analysis


Topic ID
105

Thesis Topic/Title
Analysing Multi-variable Signals Using Wavelet Based Independent Component Analysis

Description

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.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • School of Agricultural, Computational and Environmental Sciences

Field of Research
  • Artificial Intelligence and Image Processing
  • Electrical and Electronic Engineering


Application Open Date
29/02/2016

Application Close Date
31/12/2020

USQ Scholarship Applications

Pre-approved for Ethics
No

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic




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