Processing signals and big data

The data ranges we work with can include one-dimensional electrical waveforms, 2D images and multi-dimensional, time-varying, big databases – often with billions of data points.

Our experts develop new mathematical techniques to process and visualise data, understand the signals, eliminate unwanted noise and extract information to support our programme.

Examples of these mathematical techniques include:

• The development of filtering and data encoding techniques
• Image analysis and 3D image reconstructions
• Analysis of large, multi-dimensional environmental data sets – with multiple elements varying in time
• Data analysis and machine learning techniques, including decision trees, Bayesian inference and neural networks
• Our mathematicians and statisticians work closely with diagnosticians, software developers and engineers to incorporate their ideas into operational technologies for the benefit of our mission and contribution UK’s work in STEM.