About

Signal Processing and data analysis is an evolving and growing research area that feeds from several disciplines such as electrical engineering, mathematics and statistics. Developments in these fields are often very rapid and divergent in nature. Application areas, such as, for instance, bio-medical imaging, finance, and sensor networks have also become driving forces of development.

Modern data collection procedures frequently generate a 'data-deluge' of information. Such highly heterogeneous structure requires usage of modern signal processing methods for analysis. To be able to rationally make inferences from data, our understanding of its mechanism must be made quantitative and precise. With the increasing level of difficulty in this task, expertise must be brought together from different areas of science, notably signal processing, statistics and mathematics. Despite this universally acknowledged fact, developments in the aforementioned areas are often divergent and unsynchronized.

This EPSRC-funded network aims to establish a network of researchers working on problems of structured data representation with the following main objectives:

• To proactively encourage discussion and interchange between Mathematics, Statistics and Signal Processing, thus transferring knowledge between disciplines, nurturing cross disciplinary research in the area of data representation and statistical data analysis, and serving as a forum for scientific discussion and exchange.
• To connect groups of internationally recognized excellence in the areas of applicable maths and engineering in the UK to form a virtual centre for excellence, with the explicit intent to nurture a multidisciplinary attitude in the next generation of scientists and PhD students, and to encourage mobility between the different areas of science and industry where appropriate.
• To identify and develop important scientific programmes, and as a network contribute to these areas by pooling expertise and knowledge, as well as challenge prevalent existing wisdom within disciplines.