ThreshLab: Matlab algorithms for wavelet noise reduction. ThreshLab is a collection of Matlab procedures that runs without any additional toolbox. In the early years, it was set up to be combined with WaveLab, but since long it has been standing on its own, i.e. it provides its own procedures for wavelet transforms.

References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
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  1. Jin, Qiyu; Grama, Ion; Liu, Quansheng: Poisson shot noise removal by an oracular non-local algorithm (2021)
  2. Wei, Yuting; Wang, Qihua; Duan, Xiaogang; Qin, Jing: Bias-corrected Kullback-Leibler distance criterion based model selection with covariables missing at random (2021)
  3. Gardner, David J.; Reynolds, Daniel R.: Filters for improvement of multiscale data from atomistic simulations (2017)
  4. Jansen, Maarten; Amghar, Mohamed: Multiscale local polynomial decompositions using bandwidths as scales (2017)
  5. Garcin, Matthieu; Guégan, Dominique: Wavelet shrinkage of a noisy dynamical system with non-linear noise impact (2016)
  6. Jansen, Maarten: Non-equispaced B-spline wavelets (2016)
  7. Autin, Florent; Claeskens, Gerda; Freyermuth, Jean-Marc: Asymptotic performance of projection estimators in standard and hyperbolic wavelet bases (2015)
  8. Jansen, Maarten: Generalized cross validation in variable selection with and without shrinkage (2015)
  9. Jansen, Maarten: Information criteria for variable selection under sparsity (2014)
  10. Jansen, Maarten: Multiscale local polynomial models for estimation and testing (2014)
  11. Jin, Qiyu; Grama, Ion; Liu, Quansheng: A new Poisson noise filter based on weights optimization (2014)
  12. Jansen, Maarten: Multiscale local polynomial smoothing in a lifted pyramid for non-equispaced data (2013)
  13. Luisier, Florian; Vonesch, Cédric; Blu, Thierry; Unser, Michael: Fast interscale wavelet denoising of Poisson-corrupted images (2010)
  14. Jansen, Maarten; Nason, Guy P.; Silverman, B. W.: Multiscale methods for data on graphs and irregular multidimensional situations (2009)
  15. Fryzlewicz, Piotr: Data-driven wavelet-Fisz methodology for nonparametric function estimation (2008)
  16. Schmidt, Thorsten; Xu, Ling: Some limit results on the Haar-Fisz transform for inhomogeneous Poisson signals (2008)
  17. Jansen, Maarten: Multiscale Poisson data smoothing (2006)