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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Oversampling and Donoho–Logan type theorems in model spaces
Oversampling and Donoho–Logan type theorems in model spacesAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. DREW01 - Multivariate approximation, discretization, and sampling recovery The aim of this talk is to extend two results from the Paley–Wiener setting to moregeneral model spaces. The first one is an analogue of the oversampling Shannon sampling formula.The second one is a version of the Donoho–Logan Large Sieve Theorem which is a quantitativeestimate of the embedding of the Paley–Wiener space into an $L^2(\mathbb{R}, \mu)$ space. This is joint work with A. Baranov, K. Kellay & M. Speckbacher This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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