[1]张鹏伟.采用ICA的公共信道多干扰源信号的自动识别方法[J].智能系统学报,2013,8(03):277-282.
 ZHANG Pengwei.Automatic recognition of multi-interference source signals in the common channel based on independent component analysis[J].CAAI Transactions on Intelligent Systems,2013,8(03):277-282.
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采用ICA的公共信道多干扰源信号的自动识别方法(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第8卷
期数:
2013年03期
页码:
277-282
栏目:
出版日期:
2013-06-25

文章信息/Info

Title:
Automatic recognition of multi-interference source signals in the common channel based on independent component analysis
文章编号:
1673-4785(2013)03-0277-06
作者:
张鹏伟
陕西科技大学 电气与信息工程学院,陕西 西安 710021
Author(s):
ZHANG Pengwei
College of Electrical & Information Engineering, Shaanxi University of Science & Technology, Xi’an 710021, China
关键词:
多干扰源信号信号识别盲信号分离独立分量分析公共信道
Keywords:
multi-interference source signals signal recognition blind signal separation independent component analysis common channel
分类号:
TP391.4;TN911
文献标志码:
A

参考文献/References:

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[4]PARK C S, CHOI J H, NAH S P, et al. Automatic modulation recognition of digital signals using wavelet features and SVM[C]//10th International Conference on Advanced Communication Technology. Gangwon-do, Korea, 2008, 1: 387-390.
[5]WU Juanping, HAN Yingzheng, ZHANG Jinmei, et al. Automatic modulation recognition of digital communication signals using statistical parameters methods[C]//Proceedings of 2007 IEEE International Conference on Communications, Circuits and Systems. Kokura, Japan, 2007: 697-700.
[6]CHEN Xiaolong, WANG Jiali, XIN Li. A new automatic modulation recognition method in test and measurement technology[C]//8th International Conference on Electronic Measurement and Instruments. Xi’an, China, 2007: 622-625.
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[9]李秋娜,袁嗣杰,刘东华.基于EMD的混合信号盲分离方法[J].系统仿真学报, 2007, 19(6): 1358-1361.
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[10]梁国龙,董姝敏.相干源盲分离及方位估计的算法研究[J].哈尔滨工程大学学报, 2010, 31(11): 1478-1484.
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备注/Memo

备注/Memo:
收稿日期:2012-07-02.
网络出版日期:2013-05-15.
通信作者:张鹏伟.
E-mail: xxdfb2011@163.com.
作者简介:张鹏伟,男,1977年生,讲师,主要研究方向为智能信息处理、模式识别.发表学术论文5篇,其中被EI检索3篇.
更新日期/Last Update: 2013-08-29