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abstract:
The talk reviews some basics on compressive sensing, in particular, on recovery of functions that are sparse in bounded orthonormal systems (e.g. the trigonometric system) from randomly chosen samples. We apply then compressive sensing techniques for the recovery of functions in high dimensions. |
