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A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods

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Emerging Intelligent Computing Technology and Applications (ICIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 304))

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Abstract

Independent Component Analysis (ICA) using reference signal is a useful tool for extracting a desired independent component (IC). Reference signal is served asa priori information to conduct ICA to converge to the local extreme point related to a desired IC. There are two methods can perform ICA using reference signal, namely ICA with reference (ICA-R) and fast ICA with reference signal (FICAR). In this paper, we present a comparative assessment of the two methods to highlight their respective characteristics.

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Author information

Authors and Affiliations

  1. Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong Province, China

    Jian-Xun Mi

  2. Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, Guangdong Province, China

    Jian-Xun Mi

  3. Faculty of Engineering and Technology, Yunnan Agriculture University, Kunming, Yunnan Province, China

    Yanxin Yang

Authors
  1. Jian-Xun Mi
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  2. Yanxin Yang
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208016, Kanpur, India

    Phalguni Gupta

  3. Department of Chemistry, University of Louisville, 2320 South Brook Street, 40292, Louisville, Kentucky, USA

    Xiang Zhang

  4. School of Electrical, Computer & Telecommunications Engineering, The University of Wollongong,, 2522, North Wollongong, NSW, Australia

    Prashan Premaratne

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© 2012 Springer-Verlag Berlin Heidelberg

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Mi, JX., Yang, Y. (2012). A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_14

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  • DOI: https://doi.org/10.1007/978-3-642-31837-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31836-8

  • Online ISBN: 978-3-642-31837-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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