计算机应用研究2018，Vol.35Issue(4)：1092-1095,4.DOI:10.3969/j.issn.1001-3695.2018.04.029
一种盲信号处理中的时域自适应滤波算法
Adaptive filtering algorithm for blind signal processing
冯平兴1
作者信息
- 1. 成都工业学院网络与通信工程学院,成都611731
- 折叠
摘要
Abstract
Filtering is an important part of signal processing.In view of the characteristics of blind signal processing(BSS),the traditional filtering technology is not suitable for blind source separation directly.However,as a pre-processing technique,filtering is necessary to use in the separation of independent components.This paper proposed an adaptive filtering method for BSS.Meanwhile,it also gave a judgment method for the threshold of filtering.Then,it proposed the algorithm of adaptive filtering for BSS.With this method,it could solve the problem arise by using low pass and high pass filtering for blind signal processing.The simulation results show that this method not only can find out the outliers components in the observed data effectively,but also do not destroy the statistical characteristics of the data.Further,it can avoid the poor performance that the independent component algorithm use higher order statistics.关键词
盲信号处理/非线性投影/自适应/带通滤波Key words
blind signal processing(BSS)/nonlinear projection/adaptive/band-pass filtering分类
信息技术与安全科学引用本文复制引用
冯平兴..一种盲信号处理中的时域自适应滤波算法[J].计算机应用研究,2018,35(4):1092-1095,4.
