Get started
Keyword

soft thresholding

Description: A signal-processing operation that shrinks coefficients toward zero according to a threshold, often used to reduce noise in wavelet denoising.
OpenAlex ID: keywords/soft-thresholding
De-noising by soft-thresholding
1995 · D.L. Donoho · IEEE Transactions on Information Theory · 9,644
A Singular Value Thresholding Algorithm for Matrix Completion
2010 · Jian-Feng Cai, Emmanuel J. Candès, et al. · SIAM Journal on Optimization · 5,816
PDF
A General Framework for Weighted Gene Co-Expression Network Analysis
2005 · Bin Zhang, Steve Horvath · Statistical Applications in Genetics and Molecular Biology · 5,662
Adaptive wavelet thresholding for image denoising and compression
2000 · S.G. Chang, Bin Yu, et al. · IEEE Transactions on Image Processing · 2,939
Deep Residual Shrinkage Networks for Fault Diagnosis
2019 · Minghang Zhao, Shisheng Zhong, et al. · IEEE Transactions on Industrial Informatics · 1,438
Wavelet Threshold Estimators for Data with Correlated Noise
1997 · Iain M. Johnstone, Bernard W. Silverman · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 833
Remote sensing image fusion using the curvelet transform
2006 · Filippo Nencini, Andrea Garzelli, et al. · Information Fusion · 787
Forecasting economic time series using targeted predictors
2008 · Jushan Bai, Serena Ng · Journal of Econometrics · 704
Distributed Sparse Linear Regression
2010 · Gonzalo Mateos, Juan Andrés Bazerque, et al. · IEEE Transactions on Signal Processing · 550
Component selection and smoothing in multivariate nonparametric regression
2006 · Yi Lin, Hao Helen Zhang · The Annals of Statistics · 550
PDF
Relaxed Lasso
2006 · Nicolai Meinshausen · Computational Statistics & Data Analysis · 500
Regularization of Wavelet Approximations
2001 · Anestis Antoniadis, Jianqing Fan · Journal of the American Statistical Association · 499
Generalized Thresholding of Large Covariance Matrices
2009 · Adam J. Rothman, Elizaveta Levina, et al. · Journal of the American Statistical Association · 490
SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling
2003 · A. Achim, P. Tsakalides, et al. · IEEE Transactions on Geoscience and Remote Sensing · 403
Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation
1999 · Aapo Hyvärinen · Neural Computation · 384
Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation
2014 · Ran He, Wei-Shi Zheng, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 343
Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing
1998 · Xuli Zong, A.F. Laine, et al. · IEEE Transactions on Medical Imaging · 337
Outlier Detection Using Nonconvex Penalized Regression
2011 · Yiyuan She, Art B. Owen · Journal of the American Statistical Association · 310
PDF
Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing
2010 · A. Maleki, D.L. Donoho · IEEE Journal of Selected Topics in Signal Processing · 289
PDF
Online Robust PCA via Stochastic Optimization
2013 · Jiashi Feng, Huan Xu, et al. · 261
Threshold selection for wavelet shrinkage of noisy data
2002 · D.L. Donoho, I.M. Johnstone · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 251
Reduced rank regression via adaptive nuclear norm penalization
2013 · K. Chen, H. Dong, et al. · Biometrika · 247
PDF
The what, how, and why of wavelet shrinkage denoising
2000 · C. Taswell · Computing in Science & Engineering · 244
Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators
2013 · Emmanuel J. Candes, Carlos A. Sing-Long, et al. · IEEE Transactions on Signal Processing · 243
PDF
A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing
1999 · Xiaohui Hao, Shangkai Gao, et al. · IEEE Transactions on Medical Imaging · 237
Works count: 3,015
Citation count: 61,430
Year
Topic
Type