Abstract
The overall goal of this minisymposium is to document recent mathematical developments in the field of inverse problems and signal processing that are relevant for various scientific and industrial applications. The particular focus is on scientific and industrial applications in which the desired information is only given by indirect measurements. To this end, one is facedwith two problems: First, one needs to model the connection between the observed data and the searched for information, and secondly the extraction or reconstruction has to be done in a stable way. The main difficulty for this framework is that the extraction process is rather ill-posed, and methods from regularization theory have to be employed in order to control the influence of the data noise in the extraction or reconstruction process.
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Ramlau, R., Teschke, G. (2010). Minisymposium Inverse Problems and Signal Processing in Industrial Applications . In: Fitt, A., Norbury, J., Ockendon, H., Wilson, E. (eds) Progress in Industrial Mathematics at ECMI 2008. Mathematics in Industry(), vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12110-4_42
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DOI: https://doi.org/10.1007/978-3-642-12110-4_42
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