Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling
@article{Adcock2019UniformRI, title={Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling}, author={B. Adcock and Vegard Antun and A. Hansen}, journal={ArXiv}, year={2019}, volume={abs/1905.00126} }
Infinite-dimensional compressed sensing deals with the recovery of analog signals (functions) from linear measurements, often in the form of integral transforms such as the Fourier transform. This framework is well-suited to many real-world inverse problems, which are typically modelled in infinite-dimensional spaces, and where the application of finite-dimensional approaches can lead to noticeable artefacts. Another typical feature of such problems is that the signals are not only sparse in… CONTINUE READING
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