Wavelet thresholding for non-necessarily Gaussian noise: idealism
The Annals of StatisticsPublished 1 February 2003Open access
R. Averkamp, Christian Houdré
Citations49
SJR quartileQ1
SJR score4.77
SNIP3.13
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TL;DR
For various types of noise wavelet thresholding methods, problems linked to the existence of optimal thresholds are tackled, and minimaxity properties of the methods also analyzed.
Abstract
For various types of noise (exponential, normal mixture, compactly supported, ...) wavelet thresholding methods are studied. Problems linked to the existence of optimal thresholds are tackled, and minimaxity properties of the methods also analyzed. A coefficient dependent method for choosing thresholds is also briefly presented.
Keywords
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