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Undersampling in physical imaging inverse problems

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Signal recovery from undersampled data is of great importance to physical imaging systems. This talk will identify some intriguing asymptotic phenomena which can lead to improvements when carefully exploited. We show that compressed sensing behaves differently at different resolutions and that this phenomenon can be exploited via sampling principles that are aligned with the asymptotic phenomena, applying them to various imaging systems, where it becomes possible to highlight higher length scales of interest in order to enhance image resolution and reveal more detail.

This talk is part of the Surfaces, Microstructure and Fracture Group series.

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