On the Strong Consistency of the Adaptive Risk Estimator for Wavelet Thresholding*
- Авторлар: Shestakov O.1,2
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Мекемелер:
- Lomonosov Moscow State University
- Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
- Шығарылым: Том 214, № 1 (2016)
- Беттер: 115-118
- Бөлім: Article
- URL: https://journals.rcsi.science/1072-3374/article/view/237333
- DOI: https://doi.org/10.1007/s10958-016-2761-x
- ID: 237333
Дәйексөз келтіру
Аннотация
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.
Негізгі сөздер
Авторлар туралы
O. Shestakov
Lomonosov Moscow State University; Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
Хат алмасуға жауапты Автор.
Email: oshestakov@cs.msu.su
Ресей, Moscow; Moscow