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., 6:2 (2012), 122

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Informatika i Ee Primeneniya [Informatics and its Applications], 2012, Volume 6, Issue 2, Pages 122–128 (Mi ia208)

This article is cited in 4 scientific papers (total in 4 papers)

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

O. V. Shestakov^ab

^a M. V. Lomonosov Moscow State University
^b Institute for Problems of Informatics of RAS

Full-text PDF (173 kB) Citations (4)

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Abstract: The asymptotic properties of risk estimate for thresholding wavelet coefficients of signal function are analyzed. Some estimates for the 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., 6:2 (2012), 122–128

Citation in format AMSBIB

\Bibitem{She12}

\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 2012

\vol 6

\issue 2

\pages 122--128

\mathnet{http://mi.mathnet.ru/ia208}

Linking options:

https://www.mathnet.ru/eng/ia208

https://www.mathnet.ru/eng/ia/v6/i2/p122

This publication is cited in the following 4 articles:

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

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Full-text PDF :	81
References:	68
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