Wavelet denoising techniques with applications to experimental geophysical data

DOI10.1016/j.sigpro.2008.07.023zbMath1155.94314OpenAlexW1968362603WikidataQ59787763 ScholiaQ59787763MaRDI QIDQ1005774

Steven D. Glaser, Jeffrey R. Moore, Albert C. To

Publication date: 10 March 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2008.07.023

zbMATH Keywords

empirical BayeswaveletdenoisingWiener filterwavelet thresholding

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Application of orthogonal and other special functions (94A11) Geophysics (86A99)

Related Items (1)

Wavelet based seismic signal de-noising using Shannon and Tsallis entropy

Uses Software

• EBayesThresh

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Minimax estimation via wavelet shrinkage
• Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences
• Empirical Bayes selection of wavelet thresholds
• Adapting to Unknown Smoothness via Wavelet Shrinkage
• Multiple shrinkage and subset selection in wavelets
• Wavelet Thresholding via A Bayesian Approach
• Ideal spatial adaptation by wavelet shrinkage
• Adaptive Bayesian Wavelet Shrinkage
• Flexible Empirical Bayes Estimation for Wavelets
• Wavelets in statistics: beyond the standard assumptions
• Wavelets and the theory of non-parametric function estimation
• Time Series

This page was built for publication: Wavelet denoising techniques with applications to experimental geophysical data