期刊文献+

磁目标定位及小波分析

Magnetic Target Orientation and Wavelet Analysis
下载PDF
导出
摘要 分析了磁信号的特征,对磁信号进行建模和仿真,讨论了磁目标定位问题,并通过快速正交小渡变换滤波和中值滤波对磁信号进行处理,得出了联合滤波对磁信号分析是比较实用的方法。 By analyzing the characteristic of magnetic signal、modeling and simulation for magnetic signal are studied in this paper.It discusses the problem of magnetic target orientation.Through processing the magnetic signal with fast or- thogonal wavelet transformation and median filter federated filter is proved more practical for analyzing magnetic signal.
出处 《弹箭与制导学报》 CSCD 北大核心 2005年第S4期467-469,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 小波分析 建模和仿真 快速正交小波变换 中值滤波 Wavelet analysis modeling and simulation fast orthogonal wavelet transformation median filter
  • 相关文献

参考文献12

  • 1杨晋生,蔡靖,丁润涛.一种具有鲁棒性的基于小波变换的滤波方法[J].电子与信息学报,2002,24(3):413-417. 被引量:3
  • 2Maurizio Fedi.Global and Local Multiscale Analysis of Magnetic Susceptibility Data[J]. Pure and Applied Geophysics . 2003 (12)
  • 3Xiuqi Zhang,Jiye Jin,Jianbin Zheng,Hong Gao.Genetic algorithms based on wavelet transform for resolving simulated overlapped spectra[J]. Analytical and Bioanalytical Chemistry . 2003 (7-8)
  • 4Q. Liu,M.G. Sideris.Wavelet evaluation of the Stokes and Vening Meinesz integrals[J]. Journal of Geodesy . 2003 (5-6)
  • 5A. Gilbert,W. Keller.Deconvolution with wavelets and vaguelettes[J]. Journal of Geodesy . 2000 (3-4)
  • 6M. Wolkenstein,H. Hutter,M. Grasserbauer.Wavelet filtering for analytical data[J]. Fresenius’ Journal of Analytical Chemistry . 1997 (1-2)
  • 7Michacl J Caruso,Lucky.Withanawasam.V chicle Detection and Compass Applications Using AMR Magnetc Sensor. . 2001
  • 8M.Wolkenstein,H.Hutter,M.Grasserbauer.Fresenius Wavelet filtering for analytical data. Journal of Analytical Chemistry . 1997
  • 9Q.Liu,M.G.Sideris.Wavelet evaluation of the Stokes and Vening Meinesz integrals. Journal of Geodesy . 2003
  • 10A.Gilbert,W.Keller.Deconvolution with wavelets and vaguelettes. Journal of Geodesy . 2000

二级参考文献8

  • 1[1]S.G.Mallat,A theory for multiresolution signal decomposition: The wavelet representation.IEEE Trans.on PAMI,1989,PAMI-11(7),674-693.
  • 2[2]S.Miallat,Sifen Zhong,Characterization of signals from multiscale edges,IEEE Trans.on PAMII.1992.PAMI-14(7),710-732.
  • 3[3]Yansun Xu,B.Weaver,D.M.Healy,Wavelet transform domain filters: A spatially selective noise filtration technique,IEEE Trans.on IP,1994,IP-3(6),747-758.
  • 4[4]D.L.Donoho,De-noising by soft-thresholding,IEEE Trans.on IT,1995,IT-41(3),613 627.
  • 5[5]S.Mlallat,Wen Liang Hwang,Singularity detection and processing with wvavelets,IEEE Trans.on IT,1992,IT-38(2),617-643.
  • 6[6]MI.R.Banham,A.K.Katsaggelos,Spatially adaptive wavelet-based multiscale image restoration,IEEE Trans.on IP,1996,IP-5(4),619-634.
  • 7[7]N.WVeyrich,G.T.WVarhola,Wavelet shrinkage and generalized cross validation for image denoising,IEEE Trans.on IP,1998,IP-7(1),82-90.
  • 8[8]I.Pitas,A.N.Venetsanoponlos,Nonlinear Digital Filters Principles and Application.Kluwer Acadenfic Publishers,1990.

共引文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部