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

damtp.cam.ac.uk

Save to Library

Create Alert

Cite

Launch Research Feed