EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 336 (2021) MATEC Web Conf., 336 (2021) 01004 References
Open Access
Issue
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
Article Number 01004
Number of page(s) 8
Section Study of Advanced Materials and Performance Analysis
DOI https://doi.org/10.1051/matecconf/202133601004
Published online 15 February 2021
  1. Zhi Y, Fu Z, Sun X, et al. Security and Privacy Issues of UAV: A Survey[J]. (Mobile Networks and Applications, 2020, 25(1): 95-101). [Google Scholar]
  2. Millet J, Baligand B. Latest Achievements in Gunfire Detection Systems[J]. (2006: 15). [Google Scholar]
  3. Shivappa S.T, Trivedi M.M, Rao B.D. Audiovisual Information Fusion in Human– Computer Interfaces and Intelligent Environments: A Survey[J]. (Proceedings of the IEEE, 2010, 98(10): 1692-1715). [Google Scholar]
  4. Cobos M, Antonacci F, Comanducci L, et al. Frequency-Sliding Generalized Cross-Correlation: A Sub-Band Time Delay Estimation Approach[J]. (IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020, 28: 1270-1281). [Google Scholar]
  5. Hao H.K, Liang H.M, Liu Y.W. Particle methods for real-time sound source localization based on the Multiple Signal Classification algorithm[C]. (International Conference on Intelligent Green Building & Smart Grid). [Google Scholar]
  6. Argentieri S, Danes P. Broadband variations of the MUSIC high-resolution method for Sound Source Localization in Robotics[C]. (2007 IEEE/RSJ International Conference on Intelligent Robots and Systems). [Google Scholar]
  7. Liu F, Yang Y, Lin Q. Sound Source Localization and Speech Enhancement Algorithm Based on Fixed Beamforming [M]. (Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering. Shenzhen, China; Association for Computing Machinery. 2019: Article 27). [Google Scholar]
  8. Salvati D, Drioli C, Foresti G.L. On the use of machine learning in microphone array beamforming for far-field sound source localization[C]. (2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)). [Google Scholar]
  9. Shao Yuan, Chao Y, Hui G. Chicken swarm optimization based MUSIC algorithm for three-dimensional localization of near-field sound source[J]. (Technical Acoustics, 2020, s39(05): 638-643). [Google Scholar]
  10. Hao Z, Guoping H, Yun W. DOA Estimation of Low Altitude Target Based on GSO-IMUISC Algorithm[J]. (Journal of Projectiles, Rockets, Missiles and Guidance, 2015, 35(05): 191-194). [Google Scholar]
  11. Caijingjing, Lipeng, Zhaoguoqing. Two-dimensional DOA estimation with reduced-dimension MUSIC[J]. (Ministry of Education Key Labof Electronic Information Countermeasure and Simulation Technology, 2013, 40(03): 81-86+144). [Google Scholar]
  12. Wu C, Ye C. DOA Estimation for Unfolded Coprime Arrays: Successive-MUSIC Algorithm[J]. (IOP Conference Series: Materials ence and Engineering, 2020). [Google Scholar]
  13. Zhenhong C, Yingtao D, Shiwei R, et al. A Novel Noncircular MUSIC Algorithm Based on the Concept of the Difference and Sum Coarray[J]. (Sensors, 2018, 18(2): 344). [Google Scholar]
  14. Ghani S.H, Khan W. Extraction of UAV Sound from a Mixture of Different Sounds[J]. (Acoustics Australia / Australian Acoustical Society, 2020). [Google Scholar]
  15. Marino L. Experimental Analysis of UAV Propeller Noise[C]. (16th AIAA/CEAS Aeroacoustics Conference). [Google Scholar]
  16. Yangdonghai. Research and implementation of four rotor drone detection technology based on sound recognition[D]. City: (Xiangtan University, 2017). [Google Scholar]
  17. Wdl W, Teng-Feil A, Ping O.J. Research on audio detection and recognition of UAV[J]. (Technical Acoustics, 2018, 37(1): 89-93). [Google Scholar]
  18. Xia P. Research on the Interference and Countermeasures of Small Civilian UAV[D]. City: (School of Information and Communication, 2018). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.