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The Digital Chaos Cover Transport and Blind Extraction of Speech Signal

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Machine Learning and Intelligent Communications (MLICOM 2017)

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Abstract

With its nonsense, non-detection and robustness, chaotic security technology is more widely used than cryptography in the field of secure communication. In this paper, under the background of digital era, wavelet transform is used to analyze the time-frequency energy concentration of Henon chaotic signal and speech signal, and with the Henon chaotic signal as carrier, the speech signal is hidden, which has important theoretical and practical significance to improve the self-security of the chaotic secure communication system. The speech signal, which chaos is hidden, is transmitted confidentially and it is effectively made to extract blindly at the receiving end. Then similarity coefficient is compared and analyzed under different SNR, which to verify the validity of the algorithm.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (grant 61571181), Postdoctoral Research Foundation of Heilongjiang Province (grant LBH-Q14136), and Graduate Student Innovation Research Project Foundation of Heilongjiang University (grant YJSCX2017-148HLJU).

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Authors and Affiliations

  1. Key Laboratory of Electronics Engineering College, Heilongjiang University, Xuefu Road 74, Harbin, 150080, China

    Xinwu Chen, Yaqin Xie & Erfu Wang

Authors
  1. Xinwu Chen
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  2. Yaqin Xie
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  3. Erfu Wang
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Corresponding author

Correspondence to Erfu Wang .

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Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Xuemai Gu

  2. Harbin Institute of Technology, Weihai, Heilongjiang, China

    Gongliang Liu

  3. Shandong University, Weihai, Heilongjiang, China

    Bo Li

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, X., Xie, Y., Wang, E. (2018). The Digital Chaos Cover Transport and Blind Extraction of Speech Signal. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_66

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  • DOI: https://doi.org/10.1007/978-3-319-73447-7_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73446-0

  • Online ISBN: 978-3-319-73447-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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