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Non-parametric ICA Algorithm for Hybrid Sources Based on GKNN Estimation

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

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Abstract

Novel independent component analysis(ICA) algorithm based on non-parametric density estimation—generalized k-nearest neighbor(GKNN) estimation is proposed using a linear ICA neural network. The proposed GKNN density estimation is directly evaluated from the original data samples, so it solves the important problem in ICA: how to choose nonlinear functions as the probability density function(PDF) estimation of the sources. Moreover the GKNN-ICA algorithm is able to separate the hybrid mixtures of source signals using only a flexible model and it is completely blind to the sources. It provides the way to wider applications of ICA methods to real world signal processing. Simulations confirm the effectiveness of the proposed algorithm.

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Author information

Authors and Affiliations

  1. School of Mathematics and Physics, China University of Geosciences, Wuhan, 430074, China

    Fasong Wang, Hongwei Li & Shaoquan Yu

  2. the 27th Research Institute, China Electronics Technology Group Corporation, Zhengzhou, 450005, China

    Fasong Wang

  3. School of Mathematics and Physics, Henan University of Technology, Zhengzhou, 450052, China

    Rui Li

Authors
  1. Fasong Wang
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  2. Hongwei Li
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  3. Rui Li
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  4. Shaoquan Yu
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yu-Ping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, F., Li, H., Li, R., Yu, S. (2005). Non-parametric ICA Algorithm for Hybrid Sources Based on GKNN Estimation. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_139

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  • DOI: https://doi.org/10.1007/11596981_139

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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