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Translation-Invariant De-Noising

edited by: A. Antoniadis, G. Oppenheim

In Wavelets and Statistics. Lecture Notes in Statistics, Vol. 103 (1995), pp. 125-150.

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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...


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