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Wavelet thresholding via a Bayesian approach

โœ Scribed by F. Abramovich; T. Sapatinas; B. W. Silverman

Book ID
108547466
Publisher
Blackwell Publishing
Year
1998
Tongue
English
Weight
392 KB
Volume
60
Category
Article
ISSN
0952-8385

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โœ Todd Ogden; Emanuel Parzen ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Springer US ๐ŸŒ English โš– 610 KB

Previous proposals in data dependent wavelet threshold selection have used only the magnitudes of the wavelet coefficients in choosing a threshold for each level. Since a jump (or other unusual feature) in the underlying function results in several non-zero coefficients which are adjacent to each ot