Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (7): 255-259.DOI: 10.3778/j.issn.1002-8331.1901-0414

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Fast Convergence for Independent Component Analysis with Reference

JIA Yanfei, DU Yanli, ZHAO Liquan   

  1. 1.School of Electrical and Information Engineering, Beihua University, Jilin, Jilin 132013, China
    2.School of Electrical Engineering, Northeast Electric Power University, Jilin, Jilin 132012, China
  • Online:2020-04-01 Published:2020-03-28



  1. 1.北华大学 电气与信息工程学院,吉林 吉林 132013
    2.东北电力大学 电气工程学院,吉林 吉林 132012


To improve the convergence speed of independent component analysis with reference, an improved fast convergence reference independent component analysis method is proposed. The observed signals are firstly processed by pre-whitening method to reduce the complexity of algorithm. Secondly, Newton iteration method with faster convergence speed and simpler structure are used to optimize the algorithm and improved its convergence speed. The theoretical analysis shows that the computational complexity of the improved algorithm is almost the same as that of the existing algorithm in each iteration. The simulation results show that compared with the existing methods, the improved algorithm has faster convergence speed with the same error.

Key words: independent component analysis with reference, Newton iteration method, convergence speed, complexity of algorithm



关键词: 参考独立分量分析, 牛顿迭代方法, 收敛速度, 算法复杂度