FM Broadcast Monitoring Using Artificial Intelligence

Author:

Huang M.1ORCID,Yang D.R.1,Zhu D.1,Yang M.X.1,Yang J.J.1

Affiliation:

1. Wireless Innovation Lab,School of Information Science and EngineeringYunnan University Kunming PR China

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Condensed Matter Physics

Reference15 articles.

1. A cloud-based approach to spectrum monitoring

2. Artificial intelligence powers digital medicine

3. Perceptual linear predictive (PLP) analysis of speech

4. An intelligent radio regulatory architecture based on edge computing;Huang M.;China Radio,2018

5. Ioffe S. andSzegedy C.(2015) Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv:1502.03167.

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. Signal Intelligence: Automatic Carrier Detection with an Instantaneous Bandwidth of 27 MHz;2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON);2022-10-12

2. Ka Band Satellite Communication Adaptive Coding and Modulation Technology Based on Artificial Intelligence LDPC Code;Lecture Notes in Electrical Engineering;2022-07-02

3. An SEI-Based Identification Scheme for Illegal FM Broadcast;2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2021-12

4. MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification;International Journal of Intelligent Systems;2021-08-19

5. Radio Regulatory Knowledge Graph Framework and Its Application;2020 IEEE 3rd International Conference on Electronics and Communication Engineering (ICECE);2020-12-14

同舟云学术

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