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Wavelet Thresholding Risk Estimate for the Model with Random Samples and Correlated Noise

Signal de-noising methods based on threshold processing of wavelet decomposition coefficients have become popular due to their simplicity, speed, and ability to adapt to signal functions with spatially inhomogeneous smoothness. The analysis of the errors of these methods is an important practical ta...

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Autor principal: Oleg Shestakov
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-03-01
Colecção:Mathematics
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Acesso em linha:https://www.mdpi.com/2227-7390/8/3/377
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