Numerical Analysis of Histogram-based Estimation Techniques for Entropy-based Spectrum Sensing
Author:
Affiliation:
1. Facultad de Ingeniería, Universidad Autónoma de Baja California, Mexicali, México
2. Escuela de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Tijuana, México
Funder
National Council of Science and Technology
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/02564602.2019.1566029
Reference20 articles.
1. M. Mustonen, M. Matinmikko, O. Holland, and D. Roberson, “Process model for recent spectrum sharing concepts in policy making,” Telecommun. Policy, Vol. 41, pp. 391–404, Jun. 2017. doi: 10.1016/j.telpol.2017.01.007
2. P. Banelli, S. Buzzi, G. Colavolpe, A. Modenini, F. Rusek, and A. Ugolini, “Modulation formats and waveforms for 5G networks: who will be the heir of OFDM? An overview of alternative modulation schemes for improved spectral efficiency,” IEEE Signal Process. Mag., Vol. 31, pp. 80–93, Nov. 2014. doi: 10.1109/MSP.2014.2337391
3. Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances
4. W. Jouini, “Energy detection limits under log-normal approximated noise uncertainty,” IEEE Signal Process. Lett., Vol. 18, pp. 423–6, July 2011. doi: 10.1109/LSP.2011.2155649
5. Cyclostationary Signatures in Practical Cognitive Radio Applications
Cited by 5 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
1. A quantitative monitoring method for the pretightening state of bolts based on nonlinear Lamb waves and incremental learning;Nondestructive Testing and Evaluation;2023-12-11
2. A nonlinear Lamb wave-based tight contact stage identification and pretightening state quantitative monitoring method for bolts;2023-05-05
3. Improving Spectrum Sensing for Cognitive Radio Network Using the Energy Detection with Entropy Method;Journal of Electrical and Computer Engineering;2022-09-17
4. Cooperative Spectrum Sensing Using Extreme Learning Machines for Cognitive Radio Networks;IETE Technical Review;2021-03-22
5. Frequency-Domain Entropy-Based Blind Support Recovery from Multiple Measurement Vectors;IEEE Signal Processing Letters;2020
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3