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Wavelet Threshold Estimators for Data with Correlated Noise (1997)  (Make Corrections)  (127 citations)
Iain M. Johnstone, Bernard W. Silverman
Journal of the Royal Statistical Society B



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Abstract: Wavelet threshold estimators for data with stationary correlated noise are constructed by applying a level-dependent soft threshold to the coefficients in the wavelet transform. A variety of threshold choices are proposed, including one based on an unbiased estimate of mean squared error. The practical performance of the method is demonstrated on examples, including data from a neurophysiological context. The theoretical properties of the estimators are investigated by comparing them with... (Update)

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BibTeX entry:   (Update)

JOHNSTONE, I.M. & SILVERMAN, B.W. (1997). Wavelet threshold estimators for data with correlated noise. J. R. Statist. Soc. B 59, 319--51. http://citeseer.ist.psu.edu/johnstone97wavelet.html   More

@article{ johnstone97wavelet,
    author = "I. M. Johnstone and B. W. Silverman",
    title = "{W}avelet threshold estimators for data with correlated noise",
    journal = "Journal of the Royal Statistical Society B",
    volume = "59",
    number = "2",
    pages = "319--351",
    year = "1997",
    url = "citeseer.ist.psu.edu/johnstone97wavelet.html" }
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