University of Cambridge > Talks.cam > Mathematics & Information in Cambridge > Sparse sampling in Chemical Engineering, Biochemistry, and Materials Science

Sparse sampling in Chemical Engineering, Biochemistry, and Materials Science

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Carola-Bibiane Schoenlieb.

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

This talk is part of the Mathematics & Information in Cambridge series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity