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Single channel blind source separation based on ICA feature extraction 被引量:2

Single channel blind source separation based on ICA feature extraction
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摘要 A new technique is proposed to solve the blind source separation (BSS) given only a single channel observation. The basis functions and the density of the coefficients of source signals learned by ICA are used as the prior knowledge. Based on the learned prior information the learning rules of single channel BSS are presented by maximizing the joint log likelihood of the mixed sources to obtain source signals from single observation, in which the posterior density of the given measurements is maximized. The experimental results exhibit a successful separation performance for mixtures of speech and music signals. A new technique is proposed to solve the blind source separation (BSS) given only a single channel observation. The basis functions and the density of the coefficients of source signals learned by ICA are used as the prior knowledge. Based on the learned prior information the learning rules of single channel BSS are presented by maximizing the joint log likelihood of the mixed sources to obtain source signals from single observation, in which the posterior density of the given measurements is maximized. The experimental results exhibit a successful separation performance for mixtures of speech and music signals.
作者 孔薇 杨斌
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2007年第4期518-523,共6页 哈尔滨工业大学学报(英文版)
基金 Sponsored by the Research Foundation of Shanghai Municipal Education Commission(Grant No06FZ012 and 06FZ028)
关键词 blind source separation (BSS) independent component analysis (ICA) single channel maximum likelihood 盲源分离 独立成分分析 单渠道 极大可能性
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参考文献8

  • 1Comon P.Independent component analysis, a new con- cept[].Signal Processing.1994
  • 2Hopgood James R,Rayner Peter J W.Single channel non- stationary stochastic signal separation using linear time-var- ying filters[].IEEE Transactions on Signal Pocessing.2003
  • 3Roweis S T.One microphone source separation[].Advances in Neurology.2001
  • 4Bell Anthony J,Sejnowski Terrence J.Learning the High- er-order structure of a nature sound[].Network: Computation in Neural System.1996
  • 5Jang Gil-Jin,Lee Te-won.Learning statistically efficient features for speaker recognition[].Neurocomputing.2002
  • 6Li Y Q.Sequential blind extraction of instantaneously mixed sources[].IEEE Transactions on Signal Processing.2002
  • 7Lee TW.Blind source separation of more sources than mixtures using overcomplete representations[].IEEE Signal Processing Letters.1999
  • 8Bell A,Sejnowski T.An information maximization approach to blind separation and blind deconvolution[].Neural Computation.1995

同被引文献20

  • 1刘清坤,阙沛文,郭华伟,宋寿鹏.基于相空间重构和独立分量分析的超声信号噪声消除[J].上海交通大学学报,2006,40(10):1739-1742. 被引量:9
  • 2季忠,金涛,杨炯明,秦树人.基于独立分量分析的消噪方法在旋转机械特征提取中的应用[J].中国机械工程,2005,16(1):50-53. 被引量:23
  • 3胥永刚,李强,王正英,王太勇.基于独立分量分析的机械故障信息提取[J].天津大学学报,2006,39(9):1066-1071. 被引量:21
  • 4Chan T H,Ma W K,Chi C Y,et al.A convex analysis framework for blind separation of non-negative sources[J].IEEE Transactions on Signal Processing,2008,56(10):5120-5134.
  • 5Erdogan A T.A simple geometric blind source separation method for bounded magnitude sources[J].IEEE Transactions on Signal Processing,2006,54(2):438-449.
  • 6Sidiropoulos N D,Davidson T N,Luo Z Q.Transmit beamforming for physical-layer multicasting[J].IEEE Transactions on Signal Processing,2006,54(6):2239-2251.
  • 7Farid H,Adelson E H.Separating reflections and lighting using independent component analysis[C].//IEEE Computer Society Conference on Computer Vision and Pattern Recognition,Fort Collins,Colorado,1999:262-267.
  • 8Boscolo R,Pan H,Roychowdhury V P.Independent component analysis based on nonparametric density estimation[J].IEEE Transaction on Neural Networks,2004,15(1):55-65.
  • 9Correa N,Adali T,Calhoun V D.Performance of blind source separation algorithms for fMRI analysis using a group ICA method[J].Magnetic Resonance Imaging,2007,25(5):684-694.
  • 10Davies M E,James C J.Source separation using single channel ICA[J].Signal Processing,2007,87(8):1819-1832.

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