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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2012, Volume 22, Issue 1, Pages 142–152 (Mi ssi271)  
This article is cited in 3 scientific papers (total in 3 papers)

On the accuracy of normal approximation for risk estimate distribution when thresholding signal wavelet coefficients in case of unknown noise level

O. V. Shestakovab

a Institute for Problems of Informatics of RAS
b M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
Full-text PDF (229 kB) Citations (3)
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Abstract: Asymptotic properties of risk estimate when thresholding signal wavelet coefficients are studied. Some rates of convergence of risk estimate distribution to the normal law are obtained.
Keywords: wavelets; thresholding; risk estimate; normal distribution; rate of convergence.
Received: 03.06.2012
Document Type: Article
Language: Russian
Citation: O. V. Shestakov, “On the accuracy of normal approximation for risk estimate distribution when thresholding signal wavelet coefficients in case of unknown noise level”, Sistemy i Sredstva Inform., 22:1 (2012), 142–152
Citation in format AMSBIB
\Bibitem{She12}
\by O.~V.~Shestakov
\paper On the accuracy of normal approximation for risk estimate distribution when thresholding signal wavelet coefficients in case of unknown noise level
\jour Sistemy i Sredstva Inform.
\yr 2012
\vol 22
\issue 1
\pages 142--152
\mathnet{http://mi.mathnet.ru/ssi271}
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  • https://www.mathnet.ru/eng/ssi/v22/i1/p142
    • 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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