Adapting to unknown noise level in sparse deconvolution-Reference-Cited by-同舟云学术

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Adapting to unknown noise level in sparse deconvolution

Published:2017-01-23 Issue: Volume: Page:iaw024
ISSN:2049-8764
Container-title:Information and Inference
language:en
Short-container-title:Information and Inference

Author:

Boyer Claire,De Castro Yohann,Salmon Joseph

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Computational Theory and Mathematics,Numerical Analysis,Statistics and Probability,Analysis

Link

http://academic.oup.com/imaiai/article-pdf/doi/10.1093/imaiai/iaw024/9676922/iaw024.pdf

Reference40 articles.

1. Comments on: ℓ 1-penalization for mixture regression models

2. Azaïs J.-M. & Wschebor M. (2009) Level Sets and Extrema of Random Processes and Fields. New York: Wiley.

3. Spike detection from inaccurate samplings.;Azaïs;Appl. Comput. Harmon. Anal.,2015

4. Bauschke H. H. & Combettes P. L. (2011) Convex Analysis and Monotone Operator Theory in Hilbert spaces. New York: Springer.

5. Square-root lasso: pivotal recovery of sparse signals via conic programming

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