4.1 Article Proceedings Paper

Smoothers for discontinuous signals

期刊

JOURNAL OF NONPARAMETRIC STATISTICS
卷 14, 期 1-2, 页码 203-222

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/10485250211388

关键词

signal processing; image analysis; edge preserving smoothing; nonlinear filters; Potts model

向作者/读者索取更多资源

We discuss the interplay between local M-smoothers, Bayes smoothers and some nonlinear filters for edge-preserving signal reconstruction. we prove that all smoothers in question are nonlinear filters in a precise sense and characterize their fixed points, Then a Potts model is adopted for segmentation. For 1-d signals, an exact algorithm for the computation of maximum posterior modes is derived and applied to a phantom and to 1-d fMRI-data.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据