Noisy component extraction with reference

doi:10.1007/s11704-013-1135-5

Front Comput Sci

2013, Vol. 7

Issue (1) : 135-144 https://doi.org/10.1007/s11704-013-1135-5

RESEARCH ARTICLE

Noisy component extraction with reference

Yongjian ZHAO¹(

), Hong HE¹, Jianxun Mi^2,3

1. School of Information Engineering, Shandong University,Weihai 264209, China; 2. Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China; 3. Key Laboratory of Network Oriented Intelligent Computation, Shenzhen 518055, China

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Abstract

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.

Keywords blind signal processing reference signal Gaussian moments negentropy objective function biomedical signal measure performance index

Corresponding Author(s): ZHAO Yongjian,Email:zhaoyj@sdu.edu.cn

Issue Date: 01 February 2013

Cite this article:

Yongjian ZHAO,Hong HE,Jianxun Mi. Noisy component extraction with reference[J]. Front Comput Sci, 2013, 7(1): 135-144.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-013-1135-5
https://academic.hep.com.cn/fcs/EN/Y2013/V7/I1/135

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