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Informatika i Ee Primeneniya [Informatics and its Applications], 2013, Volume 7, Issue 2, Pages 40–49 (Mi ia258)  
This article is cited in 3 scientific papers (total in 3 papers)

On the rate of convergence to the normal law of risk estimate for wavelet coefficients thresholding when using robust variance estimates

O. V. Shestakovab

a Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University
b IPI RAN
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Abstract: The asymptotic properties of risk estimate for thresholding wavelet coefficients of signal function are analyzed. Some estimates for rate of convergence to the normal law are obtained.
Keywords: wavelets; thresholding; risk estimate; normal distribution; rate of convergence.
Document Type: Article
Language: Russian
Citation: O. V. Shestakov, “On the rate of convergence to the normal law of risk estimate for wavelet coefficients thresholding when using robust variance estimates”, Inform. Primen., 7:2 (2013), 40–49
Citation in format AMSBIB
\Bibitem{She13}
\by O.~V.~Shestakov
\paper On the rate of convergence to the normal law of risk estimate for wavelet coefficients thresholding when using robust variance estimates
\jour Inform. Primen.
\yr 2013
\vol 7
\issue 2
\pages 40--49
\mathnet{http://mi.mathnet.ru/ia258}
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  • https://www.mathnet.ru/eng/ia/v7/i2/p40
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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