电邮这篇文章 Stabilized hard thresholding for an unknown noise level
- 作者: Shestakov O.V.1,2
-
隶属关系:
- Faculty of Computational Mathematics and Cybernetics
- Institute of Informatics Problems, Federal Research Center for Computer Science and Control
- 期: 卷 41, 编号 2 (2017)
- 页面: 70-75
- 栏目: Article
- URL: https://journals.rcsi.science/0278-6419/article/view/176179
- DOI: https://doi.org/10.3103/S0278641917020078
- ID: 176179
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详细
The effect wa ys of estimating noise variance on the statistical characteristics of the stabilized hard thresholding of signal wavelet coefficients is studied. An unbiased estimator of the mean-square risk is analyzed. It is shown that under certain conditions, the estimator distribution tends to a normal law with variance that depends on the type of noise variance estimate.
作者简介
O. Shestakov
Faculty of Computational Mathematics and Cybernetics; Institute of Informatics Problems, Federal Research Center for Computer Science and Control
编辑信件的主要联系方式.
Email: oshestakov@cs.msu.su
俄罗斯联邦, Moscow, 119991; Moscow, 119333
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