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《Journal of Dalian Nationalities University》 2008-01
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Study on Adaptive Signal Pickup under Non-Gauss Noise

XIAO Ying,DONG Yu-hua(College of Electromechanical & Information Engineering,Dalian Nationalities University,Dalian Liaoning 116605,China)  
In order to implement the self-adapted pick-up signal interfered by non-Gauss noise,we use the BP neural network as noise cancellation filter,interfered noise was strongly interrelated with the resource of noise as reference noise in order to control the background noise.The BP neural network self-adapted noise cancellation can be used not only in linear interrelated noise,but also in non-linear interrelated noise.By this means,the quality of signal-to-noise ratio can be effectively improved in the process of signal transmitting and receiving.
【Fund】: 大连民族学院人才引进资助项目(20066105)
【CateGory Index】: TN911
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【References】
Chinese Journal Full-text Database 1 Hits
1 SHEN Bin1,2,LI jun1,CHEN xin-qin1(1 Dept.of Weapon Engineering,Naval University of Engineering,Wuhan 430033,China; 2 Wuhan Noncommisioned Officer School,Wuhan 430064,China);Extraction of Shaft-rate Modulated Electric Fields of a Ship Under Non-Gauss Noise[J];Ship & Ocean Engineering;2009-05
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 XIAO Yun-kui~1,LI Shi-yi~1,WANG Jian-xin~2,YANG Wan-cheng~2,XING Wen-hua~2 (1.School of Mechatronics Engineering, Beijing Institute of Technology, Beijing100081, China; 2.Military Transportation Institute, Tianjin300161, China);Feature Extraction from the Crank-Shaft Bearing Fault of Diesel Engine Based on the Wavelet Packet-Auto Regressive Model Spectrum Technology[J];Journal of Beijing Institute of Technology;2004-06
2 JIA Yu1, WANG Xue-wei1, LI Xue-mei2,REN Kai-li3 (1.CollegeofInformationScienceandTechnology,BeijingUniversityofChemicalTechnology, Beijing 100029, China.2. Beijing Electronic Science and Technology Vocational College, Beijing 100016,China. 3.University of Science and Technology of China,Hefei 230026,China);Analysis of non-stationary harmonics based on the wavelet packet time-frequency energy group[J];Electrical Measurement & Instrumentation;2008-11
3 SUN Yong~1 JING Bo~(1,2)1.Air force Engineering University Engineering College.Xi'an 710038,China2.Xi'an Jiaotong University Electronics and Information College.Xi'an 710049,China);De-Noising Algorithm of Multi-Sensor System Based on BP Neural Network[J];Journal of Projectiles,Rockets,Missiles and Guidance;2005-S1
4 SUN Yan-zheng,HUANG Wei,YU Bo (School of Communication and Information, Univ. of Electron. Sci. & Tech. of China Chengdu 610054);Adaptive Analysis of Nonlinear Signal Base on EMD[J];Journal of University of Electronic Science and Technology of China;2007-01
5 JIAN Xiao-gang~1 ZHANG Yan-wei~1 FENG Yue~21.School of Mechanical Engineering,Tongji University,Shanghai 200092,China;2.Jiaxing Foreign Languages School,Jiaxing 340001,China;Present state and perspectives of construction machinery fault diagnosis technology[J];Chinese Journal of Construction Machinery;2005-04
6 GUO Li-li,LIU Wei,YE Gui-lin(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China);Application of wavelet analysis on testing singular signal[J];Information Technology;2008-05
7 DENG Xiu-hua,ZHU Wei-xing(School of Electrical Information Engineering,Jiangsu University,Zhengjiang 212003,China);A method of denoising via wavelet transform coefficients threshold[J];Agriculture Network Information;2007-07
8 ZHANG Bin,ZHANG Wei-wei;Summarizing development of fault diagnosis technique for construction equipment[J];Construction Mechanization;2005-08
9 CHEN E-nuo(College of Mechanical and Electrical Engineering,Guizhou Normal University,Guiyang 550014,China);Signal Processing Approaches to Feature Extraction and Separation of Vibration Signal From Mechanical Faults[J];Coal Mine Machinery;2008-02
10 GAO Hui(Beijing Vocational and Technical Institute of Industry,Beijing 100042,China);Mechanical Fault Feature Extraction Based on Convolution Type of Wavelet Packet Energy Moment[J];Coal Mine Machinery;2008-11
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