Applied Dynamical Systems and Inverse Problems
The Applied Dynamical Systems and Inverse Problems research group
Applied dynamical systems and inverse problems is an interdisciplinary mathematical research group based at OCIAM in the Maths Institute, Oxford University. The group collaborates with the Engineering Science and Atmospheric Physics (AOPP) departments of the university. The time series (signals in discrete time) that the group study originate in several types of systems for which measurements are tractable or abundant, for example, voice recordings, electrical circuits and atmospheric data. The research covers signal analysis, modelling and synthesis using:
- applied general dynamical systems theory (ie. chaos, other non-linear phenomena),
- general basis transforms (ie. wavelets),
- automated and machine learning (ie. neural networks),
- information theoretic, statistical, stochastic,
- complex systems methods,
- theories in inverse problems, and
- climate prediction problems.
If you are interested in discussing any of the topics above and more, you can now join the Applied Dynamical Systems and Inverse Problems Discussion List