Nonlinear fusion filters based on prediction and smoothing |
| |
Authors: | Qiansheng Cheng Xiaobo Zhou Xichen Sun |
| |
Institution: | (1) School of Mathematical Sciences, Peking University, 100871 Beijing, China |
| |
Abstract: | To attenuate white noise, nonstationary noise and impulse noise are important for signal processing. In this letter, we present
nonlinear fusion filters (NFF) based on prediction and smoothing. By means of least square fitting of a polynomial, we define
and give the operators of left prediction and right prediction, left smoothing and right smoothing, central smoothing and
cross-validation smoothing. In simulated experiments, it is shown that the present method is an effective one. |
| |
Keywords: | prediction smoothing nonlinear fusion filters |
本文献已被 万方数据 SpringerLink 等数据库收录! |
| 点击此处可从《中国科学通报(英文版)》浏览原始摘要信息 |
| 点击此处可从《中国科学通报(英文版)》下载免费的PDF全文 |