Searching for "On the estimation of wavelet coefficients." – sorted by Relevance.
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Ultrasound image denoising via maximum a posteriori estimation of wavelet coefficients
- ULTRASOUND IMAGE DENOISING VIA MAXIMUM A POSTERIORI ESTIMATION OF WAVELET COEFFICIENTS A. Achim 1
- Cited by 1 (0 self) – Add To MetaCart
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Incorporating Information on Neighboring Coefficients into Wavelet Estimation
- Incorporating Information on Neighboring Coefficients into Wavelet Estimation T. Tony Cai Bernard
- Cited by 15 (3 self) – Add To MetaCart
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CONFIDENCE SETS FOR NONPARAMETRIC WAVELET REGRESSION
- using wavelets. We consider both thresholding and modulation estimators for the wavelet coefficients
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Adaptive Thresholding Of Wavelet Coefficients
- discrete wavelet transform is an estimator of the wavelet coefficients. It has been shown by Donoho
- Cited by 26 (6 self) – Add To MetaCart
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Curve Estimation using Wavelets and MDL
- operation (e.g., thresholding) to w and obtain an estimated wavelet coefficient vector w (usually some
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Pointwise Hölder exponent estimation in data network traffic
- 's local Holder exponent through size estimates of the wavelet coefficients. The algorithm can be applied
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Multiple Shrinkage and Subset Selection in Wavelets
- to the wavelet coefficients being zero. The resulting estimator for the wavelet coefficients is a multiple
- Cited by 79 (13 self) – Add To MetaCart
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Multiscale LMMSE-Based Image Denoising With Optimal Wavelet Selection
- of wavelet bases. To estimate the wavelet coefficient statistics precisely and adaptively, we classify
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Wavelet Deconvolution
- the asymptotic properties of estimators based on thresholding of estimated wavelet coefficients. Minimax rates
- Cited by 8 (1 self) – Add To MetaCart
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Two-Microlocal Spaces, Local Norms, And Weighted Spaces
- be characterized by size estimates on wavelet coefficients. In Section 4 we show that they are also preserved
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