Wavelet simultaneous approximation from samples affected by noise

Author:

Amato U.,Vuza D.T.

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modelling and Simulation

Reference12 articles.

1. Spline Models for Observational Data;Wahba,1990

2. Adapting to unknown smoothness by wavelet shrinkage;Donoho;J. American Statistical Association,1995

3. Singularity detection and processing with wavelets;Mallat;IEEE Trans. on Inf. Theory,1992

4. Wavelet transform domain filters: A spatially selective noise filtration technique;Xu,1993

5. Compression and nonlinear n-widths;DeVore;J. Adv. Comp. Math.,1993

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1. Gamma-Minimax Wavelet Shrinkage for Signals with Low SNR;The New England Journal of Statistics in Data Science;2023

2. POINTWISE CONVERGENCE OF THE WAVELET REGULARIZED ESTIMATORS;Communications in Statistics - Theory and Methods;2002-08-21

3. Smoothing Data: When Finite and Infinite Dimensional Help Each Other;Finite Versus Infinite;2000

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