Abstract

This talk will present an introduction to applications of sparse sampling in chemical engineering, biochemistry and materials science. I will introduce the basic measurement principle behind each technique and illustrate how the measurements can be modified to exploit ideas from sparse sampling. I will principally focus on compressed sensing, but also present a few examples where Bayesian analysis can lead to even more dramatic reductions in acquisition time. These techniques are now permitting acquisitions an order of magnitude (or more) faster than was previously possible, and therefore enabling us to probe problems that were beyond the range of conventional measurement approaches. I will illustrate the talk using examples including velocity mapping in gas-liquid flows, the structural characterisation of proteins, and nano-metrological characterisation of catalysts.

The slides of the talk are online at http://www.damtp.cam.ac.uk/user/cbs31/MI_Cambridge/MathAndInfo_Network_files/danielhollandtalk.pdf