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基于Gabor变换的欠定盲信号分离新方法
引用本文:申永军,张光明,杨绍普.基于Gabor变换的欠定盲信号分离新方法[J].振动.测试与诊断,2011,31(3).
作者姓名:申永军  张光明  杨绍普
作者单位:石家庄铁道大学机械工程学院,石家庄,050043
基金项目:国家自然科学基金,教育部科学技术研究重点资助项目
摘    要:结合Gabor变换和盲信号分离的各自优点,提出了一种基于Gabor变换的欠定盲信号分离新方法.首先通过混合信号的Gabor变换系数之间的相互关系,得到了源信号个数的估计;然后对Gabor变换后的信号进行阈值处理,并进行Gabor逆变换得到新的混合信号,从而实现混合信号的升维.再利用现有的盲信号分离方法进行处理,该方法不受源信号个数的限制,因此属于一种欠定盲信号分离方法;最后,通过一组仿真信号的欠定盲分离验证了该方法的有效性.

关 键 词:非平稳信号  欠定  Gabor变换  盲信号分离

New Method for Blind Source Separation in Under-Determined Mixtures Based on Gabor Transform
Shen Yongjun,Zhang Guangming,Yang Shaopu,Wu Yanyan.New Method for Blind Source Separation in Under-Determined Mixtures Based on Gabor Transform[J].Journal of Vibration,Measurement & Diagnosis,2011,31(3).
Authors:Shen Yongjun  Zhang Guangming  Yang Shaopu  Wu Yanyan
Affiliation:Shen Yongjun,Zhang Guangming,Yang Shaopu,Wu Yanyan (Department of Mechanical Engineering,Shijiazhuang Tiedao University Shijiazhuang,050043,China)
Abstract:A new method of blind source separation(BSS) is proposed in under-determined mixtures based on Gabor transform,and it combines the advantages of Gabor transform and BSS.Firstly,one can obtain the estimate for the number of source signals by the ratios of the coefficients of the mixed signals in Gabor transform field.Then,the appropriate threshold values are selected to process the Gabor transform coefficients,and the inverse Gabor transform is applied to the revised signals.This obtains new combinations of ...
Keywords:non-stationary signal under-determined mixtures Gabor transform blind source separation  
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