Change-point approach to data analytic wavelet thresholding

被引:49
作者
Ogden, T [1 ]
Parzen, E [1 ]
机构
[1] UNIV S CAROLINA,DEPT STAT,COLUMBIA,SC 29208
关键词
nonparametric regression; jump detection; Brownian bridge; Kolmogorov-Smirnov;
D O I
10.1007/BF00162519
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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 other, it is possible to use change-point approaches to take advantage of the information contained in the relative position of the coefficients as well as their magnitudes. The method introduced here represents an initial step in wavelet thresholding when coefficients are kept in the original order.
引用
收藏
页码:93 / 99
页数:7
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