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非平稳卷积混合信号的盲分离
引用本文:唐江波,郭威.非平稳卷积混合信号的盲分离[J].电声技术,2011,35(2):57-60.
作者姓名:唐江波  郭威
作者单位:唐江波,TANG Jiangbo(广州工商职业技术学院,电子与电气工程系,广东,广州,510800);郭威,GUO Wei(广州日滨科技发展有限公司,广东,广州,510800)
基金项目:国家自然科学基金项目,广西科学基金项目
摘    要:传感器采集到的信号是由多目标源、环境噪声等经多途径卷积混合的形武.为有效地去除环境因素如干扰、传输延迟等的影响,提出一种新的盲信号分离方法.利用非平稳信号的多重去相关和最小二乘准则来估计混合矩阵A或解混矩阵W以及信号和噪声功率.实验结果表明,该算法具有良好的分离效果.

关 键 词:盲分离  卷积混合  代价函数  非平稳信号

Convolutive Blind Source Separation of Non-stationary Source
TANG Jiangbo,GUO Wei.Convolutive Blind Source Separation of Non-stationary Source[J].Audio Engineering,2011,35(2):57-60.
Authors:TANG Jiangbo  GUO Wei
Affiliation:1.School of Electrical and Electronic Engineering,Guangzhou Vocational & Technical Institute of Industry & Commerce,Guangzhou 510800,China;2.Guangzhou Ropen Technology Co.,Ltd.,Guangzhou 510800,China)
Abstract:Signals obtained by sensor arrays are convolutive mixtures for multiple-sources and environment noises through multiple-paths.A novel approach of the blind source separation is proposed to remove the interferences of time-delay and environment noises.It takes up the multiple decorrelation approach assuming non-stationary signals and uses a least square optimization to estimate A or W as well as signal and noise powers.Experiment results illustrate the algorithm can get high separation performance for both non-stationary and convolved mixing signals.
Keywords:blind source separation  convolutive mixture  cost function  non-stationary signal
本文献已被 CNKI 维普 万方数据 等数据库收录!
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