The Quest for Optimal Sampling: Computationally Efficient, Structure-Exploiting Measurements for Compressed Sensing-Reference-Cited by-同舟云学术

The Quest for Optimal Sampling: Computationally Efficient, Structure-Exploiting Measurements for Compressed Sensing

Published:2015 Issue: Volume: Page:143-167
ISSN:2296-5009
Container-title:Compressed Sensing and its Applications
language:
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Author:

Adcock Ben,Hansen Anders C.,Roman Bogdan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-16042-9_5

Reference61 articles.

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2. Adcock, B., Hansen, A.C., Poon, C., Roman, B.: Breaking the coherence barrier: a new theory for compressed sensing. arXiv:1302.0561 (2014)

3. Adcock, B., Hansen, A.C., Roman, B.: A note on compressed sensing of structured sparse wavelet coefficients from subsampled Fourier measurements. arXiv:1403.6541 (2014)

4. Adcock, B., Hansen, A.C., Roman, B., Teschke, G.: Generalized sampling: stable reconstructions, inverse problems and compressed sensing over the continuum. Adv. Imaging Electron Phys. 182, 187–279 (2014)

5. Ailon,N., Liberty, E.: An almost optimal unrestricted fast Johnson–Lindenstrauss transform. In: Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) (2011)

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