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

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