Sub-Nyquist spectrum sensing and learning challenge

Frontiers of Computer Science, vol. 15

Authors 11

1. Yue Gao corresponding

   University of Surrey

   Affiliation as printed

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

2. Zihang Song

   University of Surrey

   Affiliation as printed

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

3. Han Zhang

   University of Surrey

   Affiliation as printed

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

4. Sean Fuller

   National Instruments (United Kingdom)

   Affiliation as printed

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

5. Zhinong Ying

   Sony (Sweden)

   Affiliation as printed

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

6. Petri Mähönen Aachen Institute for Networked Systems (INETS)

   RWTH Aachen University

   Affiliation as printed

   Institute for Networked Systems, RWTH Aachen University, Kackertstrasse 9, Aachen, 52072, Germany

7. Yonina C. Eldar

   Weizmann Institute of Science

   Affiliation as printed

   Faculty of Math & CS, Weizmann institute of Science, Rehovot, 7610001, Israel

8. Shuguang Robert Cui

   Chinese University of Hong Kong, Shenzhen

   Affiliation as printed

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

9. Mark D. Plumbley

   University of Surrey

   Affiliation as printed

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

10. Clive Parini

    Queen Mary University of London

    Affiliation as printed

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

11. Arumugam Nallanathan

    Queen Mary University of London

    Affiliation as printed

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