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Numerical evaluation on sub-Nyquist spectrum reconstruction methods

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Authors and Affiliations

  1. Department of Engineering, King’s College London, Strand, London, WC2R 2LS, UK

    Zihang Song

  2. School of Computer Science and Electronic Engineering, University of Surrey, Guildford, Surrey, GU2 7XH, UK

    Han Zhang & Mark D. Plumbley

  3. National Instruments Corporation (UK) Ltd., Newbury, Berkshire, RG14 2PZ, UK

    Sean Fuller

  4. Electronic Media Services Ltd., Bordon, Hampshire, GU35 0FJ, UK

    Andrew Lambert

  5. Sony Research Center, Sony Corporation, Lund, 221 88, Sweden

    Zhinong Ying

  6. Institute for Networked Systems, RWTH Aachen University, Kackertstrasse, Aachen, 52072, Germany

    Petri Mahonen

  7. Faculty of Math & CS, Weizmann Institute of Science, Rehovot, 7610001, Israel

    Yonina Eldar

  8. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China

    Shuguang Cui

  9. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK

    Clive Parini & Arumugam Nallanathan

  10. School of Computer Science, Fudan University, Shanghai, 200433, China

    Yue Gao

Authors
  1. Zihang Song
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  2. Han Zhang
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  3. Sean Fuller
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  4. Andrew Lambert
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  5. Zhinong Ying
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  6. Petri Mahonen
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  7. Yonina Eldar
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  8. Shuguang Cui
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  9. Mark D. Plumbley
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  10. Clive Parini
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  11. Arumugam Nallanathan
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  12. Yue Gao
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Corresponding author

Correspondence to Yue Gao.

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Competing interests The authors declare that they have no competing interests or financial conflicts to disclose.

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Supporting information The supporting information is available online at https://journal.hep.com.cn and https://link.springer.com.

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Song, Z., Zhang, H., Fuller, S. et al. Numerical evaluation on sub-Nyquist spectrum reconstruction methods. Front. Comput. Sci. 17, 176504 (2023). https://doi.org/10.1007/s11704-023-2520-3

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  • DOI: https://doi.org/10.1007/s11704-023-2520-3

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