Infinite-Dimensional Compressed Sensing and Function Interpolation-Reference-Cited by-同舟云学术

Infinite-Dimensional Compressed Sensing and Function Interpolation

Published:2017-04-19 Issue:3 Volume:18 Page:661-701
ISSN:1615-3375
Container-title:Foundations of Computational Mathematics
language:en
Short-container-title:Found Comput Math

Author:

Adcock Ben

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Analysis

Link

http://link.springer.com/article/10.1007/s10208-017-9350-3/fulltext.html

Reference46 articles.

1. B. Adcock. Infinite-dimensional $$\ell ^1$$ ℓ 1 minimization and function approximation from pointwise data. Constr. Approx. (to appear), 2016.

2. B. Adcock and A. C. Hansen. Generalized sampling and infinite-dimensional compressed sensing. Found. Comput. Math., 16(5):1263–1323, 2016.

3. B. Adcock, R. Platte, and A. Shadrin. Optimal sampling rates for approximating analytic functions from pointwise samples. arXiv:1610.04769, 2016.

4. V. A. Antonov and K. V. Holšhevnikov. An estimate of the remainder in the expansion of the generating function for the Legendre polynomials (generalization and improvement of Bernstein’s inequality). Vestnik Leningrad. Univ. Mat., 13:163–166, 1981.

5. B. Bah and R. Ward. The sample complexity of weighted sparse approximation. arxiv:1507.0673, 2015.

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