Enhanced Detection Algorithms Based on Eigenvalues and Energy in Random Matrix Theory Paradigm-Reference-Cited by-同舟云学术

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Enhanced Detection Algorithms Based on Eigenvalues and Energy in Random Matrix Theory Paradigm

Published:2020 Issue: Volume:8 Page:9457-9468
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhao Wenjing^ORCID,Li He,Jin Minglu,Liu Yang^ORCID,Yoo Sang-Jo^ORCID

Funder

Ministry of Science, ICT and Future Planning

Institute of Information and communications Technology Planning and Evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/08949365.pdf?arnumber=8949365

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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3. Centralized Monitored Spectrum Management using Multi-resource Parallel Sensing in Cognitive Radio Networks;ACM Transactions on Sensor Networks;2022-12-07

4. Skewness and access kurtosis as denoised mixed features-based K-Medoids for cooperative spectrum sensing;Physical Communication;2022-10

5. Denoised Jarque-Bera features-based K-Means algorithm for intelligent cooperative spectrum sensing;Digital Signal Processing;2022-09

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