Corpus ID: 141413137

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}
}
  • B. Adcock, Vegard Antun, A. Hansen
  • Published 2019
  • Computer Science, Mathematics
  • ArXiv
  • 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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