[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(3):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(3):277-282.
                                
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                                    《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
                                    8
                                    期数:
                                    2013年第3期
                                    页码:
                                    277-282
                                    栏目:
                                    学术论文—机器感知与模式识别
                                    出版日期:
                                    2013-06-25
                                
                                
                                    - 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
 
                            
                                更新日期/Last Update:
                                2013-08-29