Corpus ID: 15528711

On asymptotic structure in compressed sensing

@article{Roman2014OnAS,
  title={On asymptotic structure in compressed sensing},
  author={B. Roman and A. Hansen and B. Adcock},
  journal={ArXiv},
  year={2014},
  volume={abs/1406.4178}
}

B. Roman, A. Hansen, B. Adcock

Published 2014

Mathematics, Computer Science

ArXiv

This paper demonstrates how new principles of compressed sensing, namely asymptotic incoherence, asymptotic sparsity and multilevel sampling, can be utilised to better understand underlying phenomena in practical compressed sensing and improve results in real-world applications. The contribution of the paper is fourfold: First, it explains how the sampling strategy depends not only on the signal sparsity but also on its structure, and shows how to design effective sampling strategies utilising… CONTINUE READING

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