Various wavelet shrinkage estimators for denoising Gaussian measurements are implemented in MATLAB�. These estimators arise from a wide range of classical and empirical Bayes methods treating individual or blocks of empirical wavelet coefficients either globally or in a level-dependent fashion.
The description of the various methods and the results of an extensive simulation study have appeared in:
Antoniadis, A., Bigot, J. & Sapatinas, T. (2001). Wavelet estimators in nonparametric regression: a comparative simulation study. Journal of Statistical Software, 6, Issue 6, 1-83.
Please click on article, MATLAB� 5.2, and html-help to download the above article, the MATLAB� routines used in the simulation study, and the corresponding help-html files.
Copyright: Anestis Antoniadis, Jeremie Bigot & Theofanis Sapatinas
Various wavelet shrinkage estimators for denoising Poisson measurements are implemented in MATLAB�. These estimators arise from a wide range of classical and empirical Bayes methods treating individual empirical wavelet coefficients either globally or in a level-dependent fashion.
The description of the various methods and the results of an extensive simulation study have appeared in:
Besbeas, P., De Feis, I. & Sapatinas, T. (2004). A comparative simulation study of wavelet shrinkage estimators for Poisson counts. International Statistical Review, 72, 209-237.
Please click on article, MATLAB� 5.2, MATLAB� 6.0, and html-help to download the above article, the MATLAB� routines used in the simulation study, and the corresponding help-html files.
Copyright: Panagiotis Besbeas, Italia De Feis & Theofanis Sapatinas
Back to Theofanis Sapatinas' Personal Page