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Single-Channel Blind Signal Separation Based on Empirical Mode Decomposition and Fast Independent Component Analysis

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

Abstract

In order to solve the blind signal separation (BSS) of the number of sensor observations less than the number of source signals, a single-channel method using empirical mode decomposition (EMD) and fast independent component analysis (FastICA) is proposed. Firstly, we get the intrinsic mode functions (IMF) by EMD, then the relevant IMFs are grouped together. Secondly, BSS can be achieved by FastICA. Finally, the simulation experiment of single-channel blind signal separation has been finished. The similar coefficients of separation signals obtained by this method and source signals are higher than 98%. The simulation experiment results have shown that this method can solve the problem of single-channel blind source separation. The effectiveness and feasibility of this method can also be verified by the simulation experiment results.

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Authors and Affiliations

  1. College of Physics, Liaoning University, No.66 Chongshan Zhonglu, Huanggu district, Shenyang, Liaoning Province, 110036, P.R. China

    Xinjie Wu, Rongrong Fu, Sheng Hu & Chao Xu

Authors
  1. Xinjie Wu
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  2. Rongrong Fu
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  3. Sheng Hu
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  4. Chao Xu
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Corresponding author

Correspondence to Xinjie Wu .

Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Wu, X., Fu, R., Hu, S., Xu, C. (2012). Single-Channel Blind Signal Separation Based on Empirical Mode Decomposition and Fast Independent Component Analysis. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_93

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_93

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

  • eBook Packages: EngineeringEngineering (R0)

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