Jacobsen, Christian Robert Dahl

Møller, Jesper

Nielsen, Morten

Rasmussen, Morten Grud

Generalized sampling is a mathematical technique for obtaining approximations of signals with respect to different representations in a numerically stable manner. This can for example be relevant in processing MRI images, where hardware often enforces initial frequency measurements, but where a wavelet basis may be better suited for representing the image. Recently the theory of generalized sampling was extended to work with arbitrary patterns in R d. In this article we investigate how the choice of the probability distribution generating random sampling schemes in R 2 affects the numerical stability of generalized sampling. </p

Investigations of the effects of random sampling schemes on the stability of generalized sampling

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