A frame based shrinkage procedure for fast oscillating functions

DOI10.1016/J.CSDA.2014.01.016zbMath1506.62052OpenAlexW2061488010MaRDI QIDQ1623482

Daniela de Canditiis

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.01.016

zbMATH Keywords

framesnonparametric regressionrational dilatation wavelet transform

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Denoising strategies for general finite frames

Uses Software

• PDCO
• reccv

Cites Work

• Locally adaptive image denoising by a statistical multiresolution criterion
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Hadamard products and multivariate statistical analysis
• Image denoising using scale mixtures of gaussians in the wavelet domain
• Atomic Decomposition by Basis Pursuit
• Audio Denoising by Time-Frequency Block Thresholding
• Frequency-Domain Design of Overcomplete Rational-Dilation Wavelet Transforms
• Bayesian Variable Selection and Regularization for Time–Frequency Surface Estimation
• An introduction to frames and Riesz bases

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