Corpus ID: 10387505

Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing

@article{Adcock2013BreakingTC,
  title={Breaking the coherence barrier: asymptotic incoherence and asymptotic sparsity in compressed sensing},
  author={B. Adcock and A. Hansen and C. Poon and B. Roman},
  journal={ArXiv},
  year={2013},
  volume={abs/1302.0561}
}
  • B. Adcock, A. Hansen, +1 author B. Roman
  • Published 2013
  • Computer Science
  • ArXiv
  • We introduce a mathematical framework that bridges a substantial gap between compressed sensing theory and its current use in real-world applications. Although completely general, one of the principal applications for our framework is the Magnetic Resonance Imaging (MRI) problem. Our theory provides a comprehensive explanation for the abundance of numerical evidence demonstrating the advantage of so-called variable density sampling strategies in compressive MRI. Besides this, another important… CONTINUE READING
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