(Enter summary)
Abstract: De-Noising with the traditional (orthogonal, maximally-decimated) wavelet
transform sometimes exhibits visual artifacts; we attribute some of these -- for example,
Gibbs phenomena in the neighborhood of discontinuities -- to the lack of
translation invariance of the wavelet basis. One method to suppress such artifacts,
termed "cycle spinning" by Coifman, is to "average out" the translation dependence.
For a range of shifts, one shifts the data (right or left as the case may be), De-Noises
the... (Update)
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BibTeX entry: (Update)
R. Coifman and D. Donoho, "Translation invariant de-noising," in Lecture Notes in Statistics: Wavelets and Statistics, vol. New York: Springer-Verlag, pp. 125--150, 1995. http://citeseer.ist.psu.edu/coifman95translationinvariant.html More
@techreport{ coifman95translationinvariant,
author = "R. R. Coifman and D. L. Donoho",
title = "Translation-Invariant De-Noising",
address = "Department of Statistics",
year = "1995",
url = "citeseer.ist.psu.edu/coifman95translationinvariant.html" }
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