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Chirp Watermark Detection Based on Fractional Auto-correlation Statistic

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Book cover Recent Advances in Computer Science and Information Engineering

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

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Abstract

To overcome the shortage of the existing detector algorithm when the focus order of Chirp watermark near ±1, a novel blind detection method based on fractional auto-correlation statistic has been proposed. The theory and methods of implementation have been discussed. Simulation results show that the algorithm is better robust to common attack.

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References

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China

    Yi Xin

  2. Department of Mathematics, School of Science, Beijing Institute of Technology, Beijing, 100081, China

    Bingzhao Li

  3. SecuTech (Beijing) Info Technologies, DaDi Technology Plaza 1230, North 4th Ring West Road 67, Beijing, 100080, China

    Wenwang Zhao

Authors
  1. Yi Xin
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  2. Bingzhao Li
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  3. Wenwang Zhao
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Corresponding author

Correspondence to Yi Xin .

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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Xin, Y., Li, B., Zhao, W. (2012). Chirp Watermark Detection Based on Fractional Auto-correlation Statistic. 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_33

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_33

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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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