Melbourne School of Engineering
Nonlinear Signal Processing Laboratory

NONLINEAR SIGNAL PROCESSING LAB

NSP Lab is a transdisciplinary engineering research laboratory distinguished by its tri-level structure. At its heart is systems theory: the theory and application of signal processing, control engineering and information theory. This is grounded in rigorous mathematical techniques from areas as diverse as algebraic topology, differential geometry, information geometry and stochastic calculus. The top layer is the cross-fertilisation of signal and information processing with systems biology and systems neuroscience.

NSP Lab researchers dedicate themselves to four overarching aims:

  1. Expand the fundamental theory of signal processing and strengthen its integration with the fields of algebraic, differential & information geometry;
  2. Uncover the signal processing principles explaining the functioning of the human brain, the most efficient signal processing device known, and forge deeper synergies between the endeavours of neuroscientists and engineers;
  3. Develop next generation algorithms solving real world problems with guaranteed performance and energy efficiency, and transfer this knowledge to industry;
  4. Educate and train the next generation of transdisciplinary researchers to equip them for the scientific challenges of this century.

Further information can be found through the side menu. Additionally, there are dedicated pages for prospective graduate students, prospective visitors and industry representatives. Queries are welcome.

 


Jonathan Manton
Future Generation Professor