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GPT- and S-Vanishing Structures for Near-Cloaking

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Mathematical and Statistical Methods for Multistatic Imaging

Part of the book series: Lecture Notes in Mathematics ((LNM,volume 2098))

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Abstract

The concept of GPTs is used in Chaps. 4 and 11 for resolved imaging, identification, and tracking of small targets. In this chapter, we use the concept of GPTs for constructing cloaking devices.

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Authors and Affiliations

  1. Department of Mathematics and Applications, École Normale Supérieure, Paris, France

    Habib Ammari, Wenjia Jing & Han Wang

  2. Laboratory of Probability and Random Mod, University Paris VII, Paris, France

    Josselin Garnier

  3. Department of Mathematics, Inha University, Incheon, Korea

    Hyeonbae Kang

  4. Department of Mathematical Sciences, Korean Advanced Institute of Science and Technology (KASIT), Daejeon, Korea

    Mikyoung Lim

  5. Department of Mathematics, University of California Irvine School of Physical Sciences, Irvine, CA, USA

    Knut Sølna

Authors
  1. Habib Ammari
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  2. Josselin Garnier
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  3. Wenjia Jing
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  4. Hyeonbae Kang
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  5. Mikyoung Lim
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  6. Knut Sølna
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  7. Han Wang
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© 2013 Springer International Publishing Switzerland

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Ammari, H. et al. (2013). GPT- and S-Vanishing Structures for Near-Cloaking. In: Mathematical and Statistical Methods for Multistatic Imaging. Lecture Notes in Mathematics, vol 2098. Springer, Cham. https://doi.org/10.1007/978-3-319-02585-8_15

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