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一种重排时频谱的非平稳信号盲源分离方法 被引量：2

Blind Separation of Nonstationary Sources Based on Rearrangement Time-Frequency Spectrum
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摘要 在Akira Morimoto等人提出的空间时频盲源分离算法基础上,通过对时频谱进行重排使得信号的空间时频矩阵更接近于对角阵,从而得出一种新的盲源分离方法.该方法能有效分离各种非平稳信号且性能较好. Based on analyzing space time-frequency arithmetic of Akira Morimoto and rearranging time-frequency matrixes approximately to diagonal matrix,the paper proposes a new blind source method,which can separate nonstationary signals effectively and has better performance.
作者 郭靖 曾孝平
机构地区 西南大学电子信息工程学院 重庆大学通信工程学院
出处 《西南师范大学学报（自然科学版）》 CAS CSCD 北大核心 2010年第6期147-151,共5页 Journal of Southwest China Normal University(Natural Science Edition)
基金 中央高校基本科研业务费专项资金资助(XDJK2009C035)
关键词 平滑伪Wigner-Ville分布 重排理论 盲源分离 非平稳信号 SPWVD rearrangement theory blind source separation nonstationary signals
分类号 TN911.7 [电子电信—通信与信息系统]
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参考文献10

  • 1Rui Li,Hongwei Li,Fasong Wang.Dependent Component Analysis:Concepts and Main Algorithms[J].Journal of Computers,2010,5(4):589-597.
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  • 4Akira Morimoto,Ashino Ryuichi,Takeshi Mandai,et al.Blind Source Separation Using Analytic Wavelet Transform[C].Hong Kong:Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition,2008:541-546.
  • 5Takehiro Hamada,Kazushi Nakano,Akihiro Ichijo.Wavelet-based Underdetermined Blind Source Separation of Speech Mixtures[C].Seoul:International Conference on Control,Automation and Systems,2007:2790-2794.
  • 6Mehmet Tankut(O)zgen,Ercan Engin Kuruoglu and Diego Herranz.Astrophysical Image Separation by Blind Time-Frequency Source Separation Methods[J].Digital Signal Processing,2009(19):360-369.
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同被引文献29

  • 1徐毅,阮成礼,魏茂刚.一种性能优越的二次时频分布[J].电子科技大学学报,2005,34(5):581-584. 被引量：1
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  • 5CAMARGO-OLIVARES J L, MARTIN-CLEMENTE R. The mater- hal abdominal ECG as input to MICA in the fetal ECG extraction problem [J]. IEEE Signal Processing Letters, 2011, 18(3) : 161 - 164.
  • 6VAPNIK V. An Overview of Statistical Learning Theory[ J]. IEEE Transaction on Neural Networks, 1999, 10(5) : 988 -999.
  • 7OUTRAM N J. Intelligent pattern analysis of the foetal eleetroeardio- gram [D]. Plymouth: University of Plymouth, 1997.
  • 8BELOUCHRANI A, AMIN M G. Blind source separation based on time-frequency signal representations [ J]. IEEE Transaction on Signal Processing, 1998, 46(11) : 2888 - 2897.
  • 9HOLOBAR A, FEVOTTE C, DONCARLI C, et al. Single autote- rms selection for blind source separation in time-frequency plane [ C]//EUSIPCO 2002: Proceedings of the 1 hh European Signal Processing Conference. Toulouse: [ s. n. ], 2002:1 -4.
  • 10FEVOTYE C, DONCARLI C. Two contributions to blind source separation using time-frequency distributions [ J]. IEEE Singnal Processim, Letters. 2004. 11(3) : 386 -389.

引证文献2

二级引证文献1

西南师范大学学报（自然科学版）
2010年 第6期

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