Signal processing
Developing strategies for biological, social and environmental applications by adapting signal processing techniques.
Our research
We specialise in the development of signal processing strategies for applications in:
- Neuroscience
- Speech modelling and synthesis
- Cardiovascular image processing
- Mobile telecommunications
- Geothermal and geological applications
For these applications, we employ the following techniques:
- Time-frequency analysis
- Linear and nonlinear signal analysis
- Neural networks
- Wavelets
- Independent component analysis
- Finite element deformable models
Our people
- Associate Professor Charles Unsworth (primary contact): Signal analysis, nonlinear dynamical systems, artificial neural networks, wavelets, independent component analysis, neuroengineering
- Professor Poul Nielsen
- Professor Alistair Young
PhD students
- Hamid Abbasi: Early prediction of perinatal brain injury in the EEG using wavelets and artificial neural networks
- Brad Raos: Controlled three dimensional growth of human brain cells in hydrogels
- Luqman Bachtiar: Automatic odorant detection with artificial neural networks
- Sepideh Rastin: North Island seismic noise characterization