Noisy component extraction with reference

作     者：Yongjian ZHAO Hong HE Jianxun Mi 

作者机构：School of Information Engineering Shandong University Weihai 264209 China Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen 518055 China Key Laboratory of Network Oriented Intelligent Computation Shenzhen 518055 China 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2013年第7卷第1期

页      面：135-144页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0832[工学-食品科学与工程（可授工学、农学学位）] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 083203[工学-农产品加工及贮藏工程] 

主　　题：blind signal processing reference signal Gaus- sian moments negentropy objective function biomedical signal measure performance index 

摘      要：Blind source extraction （BSE） is particularly at- tractive 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 dis- tinguish 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.