标题:Noisy component extraction with reference
作者:Zhao, Yongjian; He, Hong; Mi, Jianxun
作者机构:[Zhao Yongjian] School of Information Engineering, Shandong University, Weihai, Shandong China.;[He Hong] School of Information Engineering, Shandong 更多
通讯作者:Zhao, Y.(zhaoyj@sdu.edu.cn)
通讯作者地址:[Zhao, YJ]Shandong Univ, Sch Informat Engn, Weihai 264209, Peoples R China.
来源:计算机科学前沿
出版年:2013
卷:7
期:1
页码:135-144
DOI:10.1007/s11704-013-1135-5
关键词:blind signal processing; reference signal; Gaussian moments; negentropy;; objective function; biomedical signal; measure; performance index
摘要:Blind source extraction (BSE) is particularly attractive to solve blind signal mixture problems where only a few source signals are desired. Many existing BSE methods do not take into account the existence of noise and can only work well in noise-free environments. In practice, the desired signal is often contaminated by additional noise. Therefore, we try to tackle the problem of noisy component extraction. The reference signal carries enough prior information to distinguish the desired signal from signal mixtures. According to the useful properties of Gaussian moments, we incorporate the reference signal into a negentropy objective function so as to guide the extraction process and develop an improved BSE method. Extensive computer simulations demonstrate its validity in the process of revealing the underlying desired signal.
收录类别:EI;CSCD;SCOPUS;SCIE
WOS核心被引频次:1
Scopus被引频次:5
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875581936&doi=10.1007%2fs11704-013-1135-5&partnerID=40&md5=6fc8740b79bda3ab2923381956ddc2e1
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