电邮这篇文章 On the Strong Consistency of the Adaptive Risk Estimator for Wavelet Thresholding*
- 作者: Shestakov O.1,2
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隶属关系:
- Lomonosov Moscow State University
- Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
- 期: 卷 214, 编号 1 (2016)
- 页面: 115-118
- 栏目: Article
- URL: https://journals.rcsi.science/1072-3374/article/view/237333
- DOI: https://doi.org/10.1007/s10958-016-2761-x
- ID: 237333
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详细
In this paper we consider the problem of estimating a function from the noised observations via thresholding its wavelet coefficients and prove the strong consistency of the risk estimator with the adaptive threshold.
作者简介
O. Shestakov
Lomonosov Moscow State University; Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
编辑信件的主要联系方式.
Email: oshestakov@cs.msu.su
俄罗斯联邦, Moscow; Moscow
