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Research and Simulation of Linear Instantaneous Blind Signal Separation Algorithm

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Advances in Computer Science, Environment, Ecoinformatics, and Education (CSEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 215))

Abstract

The process of separating initial source information from mixing signal is called blind signal separation (BSS). This paper mainly introduces the original, development, and style, etc of BSS, as well as analyzes model types of BSS algorithm. We simulate two signal of a sine and a triangle wave, then mixing them by non-linear matrix. Through simulation, based on BSS technology of typical Fast ICA or JADE algorithm, we concluded that the BSS algorithm can get the accuracy separation effect. However, because the observed signals in actual project may be non-linear mixing signal, and hard to determine, BSS algorithm of further research is very significant.

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Authors and Affiliations

  1. Zhengzhou Institute of Aeronautical Industry Management, 450015, China

    Xinling Wen

Authors
  1. Xinling Wen
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Editor information

Editors and Affiliations

  1. International Science & Education Researcher, Association Wuhan Branch, No.1, Jiangxia Road, Wuhan, China

    Song Lin  & Xiong Huang  & 

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© 2011 Springer-Verlag Berlin Heidelberg

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Wen, X. (2011). Research and Simulation of Linear Instantaneous Blind Signal Separation Algorithm. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_21

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  • DOI: https://doi.org/10.1007/978-3-642-23324-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23323-4

  • Online ISBN: 978-3-642-23324-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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