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A Method for ICA with Reference Signals

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Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6216))

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Abstract

This paper presents a novel method for independent component analysis (ICA) with reference signal. Instead of choosing the initial weight vector randomly as in other algorithms, our method employs the maximum correlation criterion to select the initial weight vector deliberately and uses FastICA to find the desired solution. No extra parameters are involved in ICA with reference by our method which is superior to some other algorithms.

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References

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Author information

Authors and Affiliations

  1. Intelligent Computing Laboratory, Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei Anhui, 230031, China

    Jian-Xun Mi & Jie Gui

  2. Departments of Automation, University of Science and Technology of China, Anhui, 230027, China

    Jian-Xun Mi & Jie Gui

Authors
  1. Jian-Xun Mi
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  2. Jie Gui
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Editor information

Editors and Affiliations

  1. Chinese Academy of Sciences, Intelligent Computing Laboratory, P.O. Box 1130, 230031, Hefei, Anhui, China

    De-Shuang Huang

  2. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, KY, USA

    Xiang Zhang

  3. Department of Computational Sciences, National Institute of Astrophysics Optics and Electronics, Luis E. Erro #1, 72840, Tonantzintla, Puebla, Mexico

    Carlos Alberto Reyes García

  4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

    Lei Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Mi, JX., Gui, J. (2010). A Method for ICA with Reference Signals. In: Huang, DS., Zhang, X., Reyes García, C.A., Zhang, L. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2010. Lecture Notes in Computer Science(), vol 6216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14932-0_20

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  • DOI: https://doi.org/10.1007/978-3-642-14932-0_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14931-3

  • Online ISBN: 978-3-642-14932-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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