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直觉模糊集的结构化分析
  • ISSN号：1001-0920
  • 期刊名称：《控制与决策》
  • 时间：0
  • 分类：TU7[建筑科学—建筑技术科学]
  • 作者机构：[1]西华大学无线电管理技术研究中心,四川成都610039, [2]四川省无线电监测站,四川成都610016
  • 相关基金：国家自然科学基金（61175055）; 四川省科技支撑项目（2013GXZ0155）; 西华大学创新基金（ycjj2014038）
作者： 秦华妮[1], 洪智勇[2], 骆达荣[3]
关键词： 地空通信音频信号, K-均值聚类算法, 支持向量机, ground-to-air, communication audio signal, K-means clustering algorithm, support vector machine
中文摘要：

通过对设置在不同地形的监测设备所采集的地空通信信号研究发现,其音频信号可作为识别地空通信干扰信号的研究对象,但音频信号特征通常是基于短时间域上的,无法直接应用在识别过程中。故提出利用K-均值聚类算法构建地空通信干扰音频信号的特征集合,并将通过遍历选择参数的支持向量机作为分类器用于地空通信干扰音频信号识别。实验表明,该方法可以很好地表现出音频信号的统计特性,快速、高效地识别出不同的地空通信干扰信号。

英文摘要：

Through the study of ground-to-air communication interference signals which are collected by different monitoring equipments of different terrain and find that its audio signals can be regarded as the recognized object of ground-to-air communication interference signals. Since the feature of audio signals is based on short time domain so that it is not used directly in recognition. Therefore,we propose that K-means clustering algorithm is used to structure the feature extraction of ground-to-air communication interference audio signals,and the SVM algorithm of traversal selected parameters are regarded as a classifier to recognize the interference of ground-toair communications audio signals. Experimental results prove that this method can well show the statistical characteristics of audio signals and has a high recognition rate for different ground-to-air communication audio interference signals in a shot time.

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期刊信息
  • 《控制与决策》
  • 北大核心期刊（2011版）
  • 主管单位:中华人民共和国教育部
  • 主办单位:东北大学
  • 主编：张嗣瀛 王福利
  • 地址：沈阳市东北大学125信箱
  • 邮编：110004
  • 邮箱：kzyjc@mail.neu.edu.cn
  • 电话：024-83687766
  • 国际标准刊号：ISSN：1001-0920
  • 国内统一刊号：ISSN：21-1124/TP
  • 邮发代号:8-51
  • 获奖情况:
  • 1997年被评为辽宁省优秀编辑部,1999年期刊影响因子在信息与系统类期刊中排名第二位
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国数学评论（网络版）,德国数学文摘,荷兰文摘与引文数据库,美国工程索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:32961