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Efficient Variant of FastICA Algorithm for Speech Features Extraction

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Green Communications and Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 113))

Abstract

We propose an efficient variant of FastICA (EFICA) algorithm which is asymptotically efficient. The simulation results show superior performance of the EFICA algorithm compared with the fast fixed-point ICA (FastICA) algorithm and the Power ICA algorithm.

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References

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Acknowledgments

This work was supported by the Foundation of Artificial Intelligence Key Lab of Sichuan Province Education Department (2009RY009) and the Foundation of Teaching Reform OF Sichuan University of Science & Engineering (JB-0918) .

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Authors and Affiliations

  1. Sichuan University of Science and Engineering, Zigong, China

    Xiaoli Huang & Huanglin Zeng

Authors
  1. Xiaoli Huang
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  2. Huanglin Zeng
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Corresponding author

Correspondence to Xiaoli Huang .

Editor information

Editors and Affiliations

  1. , Department of Electronic Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China, People's Republic

    Yuhang Yang

  2. , Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Maode Ma

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© 2012 Springer Science+Business Media B.V.

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Huang, X., Zeng, H. (2012). Efficient Variant of FastICA Algorithm for Speech Features Extraction. In: Yang, Y., Ma, M. (eds) Green Communications and Networks. Lecture Notes in Electrical Engineering, vol 113. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2169-2_111

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  • DOI: https://doi.org/10.1007/978-94-007-2169-2_111

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2168-5

  • Online ISBN: 978-94-007-2169-2

  • eBook Packages: EngineeringEngineering (R0)

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