全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
电子学报  2012 

基于均值滤波矩阵组的二维信号快速经验模式分解方法

DOI: 10.3969/j.issn.0372-2112.2012.10.013, PP. 1980-1983

Keywords: 经验模式分解(EMD)快速算法,均值滤波矩阵,图像融合

Full-Text   Cite this paper   Add to My Lib

Abstract:

根据矩阵变换理论,提出了一种基于滤波矩阵组的局部均值求取方法.该方法构造了均值滤波矩阵组,只需在待处理矩阵左右各乘一个均值滤波阵,即可得到待处理阵的加权均值,简化了包络均值求解过程.在上述局部均值滤波理论的基础上,提出了二维信号的快速经验模式分解算法.实验证明,算法运算时间比传统经验模式分解方法提高了两到三个数量级.

References

[1]  Rutkowskitm T M,Mandic D P,Cichocki A,et al.EMD approach to multichannel EEG data —The amplitude and phase components clustering analysis [J].Journal of Circuits,Systems and Computers,2010,19(1):215-229.
[2]  Rehan N,Mandic D P.Multivariate empirical mode decomposition [J].Proc R Soc A,2010,466(2117):1291-1302.
[3]  徐晓刚,徐冠雷,王孝通,等.经验模式分解(EMD)及其应用[J].电子学报,2009,37(3):581-585. XU Xiao-gang,XU Guan-lei,WANG Xiao-tong,et al.Empirical mode decomposition and its application [J].Acta Electronica Sinica,2009,37(3):581-585.(in Chinese)
[4]  Han C M,Guo H D,Wang C,et al.A novel method to reduce speckle in SAR images.International Journal of Remote Sensing,2002,23(23):5095-5101.
[5]  Xu Guanlei,Wang Xiaotong,Xu Xiaogang.Multi-band image fusion algorithm based on neighborhood limited empirical mode decomposition [J].Journal of Infrared and Millimeter Waves.2006,25(3):225-228.
[6]  徐冠雷,王孝通,徐晓刚等.基于限邻域EMD的图像增强[J].电子学报,2009,34(9):1635-1639. XU Guan-lei,WANG Xiao-tong,XU Xiao-gang,et al.Image enhancement algorithm based on neighborhood limited empirical mode decomposition [J].Acta Electronica Sinica,2009,34(9):1635-1639.(in Chinese)
[7]  Huang N E,Zheng S,Steven R L,et al.The empirical mode decomposition and the Hilbert spectrum for non-linear non-stationary time series analysis [J].Proc R Soc London Ser A,1998,454:903-995.
[8]  Looneyd,Mandic D P.Multiscale image fusion using complex extensions of EMD [J].IEEE Transactions on Signal Processing,2009,57(4):1626-1630.
[9]  Yue H Y,Guo H D,Han C M,et al.A SAR interferogram filter based on the empirical mode decomposition method.Proceedings of IGARSS 2001:Geoscience and Remote Sensing Symposium.New York:IEEE,2001.2061-2063.
[10]  Nunes J C,Bouaoune Y,Delechlle E,et al.Texture analysis based on the bidimensional empirical mode decomposition with gray-Level co-occurrence models [J].Machine Vision and Application,2003,2:633-635.
[11]  Yang Zhihua,Qi Dongxu,Yang Lihua.Signal period analysis based on Hilbert-Huang Transform and its application to texture analysis [A].Proceedings of the Third International Conference on Image and Graphics [C].Washington DC:IEEE,2004.430-433.
[12]  Xiong Changzhen,Xu Junyi,Zou Jiancheng,et al.Texture classification based on EMD and FFT[J].Zhejiang Univ Sci(A),2006,7(9):1516-1521.
[13]  Nunes J C,Guyot S,Delechlle E.Texture analysis based on local analysis of the bidimensional empirical mode decomposition[J].Machine Vision and Applications,2005,16:177-188.
[14]  Xu Guanlei,Wang Xiaotong,Xu Xiaogang.Improved bi-dimensional empirical mode decomposition based on 2D assisted signals:Analysis and application [J].IET Image Processing,2011,5(3):205-211.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133