经验模态分解与独立分量分析融合的谐波信号的提取
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摘要
检验系统保密性能重要的手段之一是混沌信号分离。近年来,很多学者利用盲源分离技术来提取混沌背景下的谐波信号。结合经验模态分解和独立分量分析各自的优点,本文对谐波信号使用经验模态分解与独立分量分析相结合的算法对混沌信号进行分离,验证算法的可行性,解决了独立分量分析对单一信号分析的弊端。
One of the important means to test the security performance of the system is chaotic signal separation.? In recent years,many reseachers use independent component analysis(ICA) to separate chaos and signal. ICA is also used to separate blind source. Combining the advantages of the empirical mode decomposition(EMD) and independent component analysis(ICA), the paper propose a new fusion algorithm of empirical mode decomposition and independent component analysis to extract chaotic background harmonic signal.Computer simulation verified that the method has high availability. We solve the defects of independent component analysis for single signal analysis
One of the important means to test the security performance of the system is chaotic signal separation.? In recent years,many reseachers use independent component analysis(ICA) to separate chaos and signal. ICA is also used to separate blind source. Combining the advantages of the empirical mode decomposition(EMD) and independent component analysis(ICA), the paper propose a new fusion algorithm of empirical mode decomposition and independent component analysis to extract chaotic background harmonic signal.Computer simulation verified that the method has high availability. We solve the defects of independent component analysis for single signal analysis
引文
[1]ZOU X,PETER J,LIU J.Speech signal enhancement based on MAP algorithm in the ICA space.IEEE Transactions on Signal Processing.2008,56(5):1812~1820.
[2]Ghassemian H.A review of remote sensing image fusion methods[J].Information Fusion,2016,32(PA):75-89.
[3]LV J CH,TAN K K,ZHANG Y.Convergence analysis of a class of Hyv?rinen Oja’s ICA learning algorithms with constant learning rates.IEEE Transactions on Signal Processing.2009,57(5):1811-1824.
[4]TAKAHASHI Y,TAKATANI T,OSAKO K.Blind spatial subtraction array for speech enhancement in noisy environment.IEEE transactions on Audio,Speech,and Language processing.2009,17(4):650~664.
[5]李鸿光,孟光.基于经验模式分解的混沌干扰下谐波信号的提取方法[J].物理学报.2004,53(7):2069~2073.
[6]Anil Kumar,Sucheta Sushan and M.K.Ghose.An Improved Secure Data Communication Using Blind Source Separation and Chaos.2009 11th IEEE International Symposium on Multimedia.2009:358~262.
[7]N.Doukas,N.Karadimas.A Blind Source Separation Based Cryptography Scheme for Mobile Military Communication Applications,WSEAS transactions on communications2008,7(12):1235~1245.
[8]A.Kumar,M.K.Ghose.Enhanced Chaos Based Spread Spectrum Information Security,International Journal of Information Technology and Knowledge Management.20081(2):497~510.
[9]A.Kumar,E.A.Elkhazmi,O.O.Khalifa,and A.Albagul Secure Data Communication Using Blind Source Separation,Proceedings of the International Conference on Computer and Communication Engineering Kuala Lumpur,Malaysia.2008:1352~1356.
[10]S.Li,C.Li,K.Lo,G.Chen.Cryptanalyzing an Encryption Scheme Based on Blind Source Separation.IEEE transaction on circuits and systems.2008,55(4):1055~1063.
[11]王兴元,孟娟,邱天爽.基于独立分量分析算法研究儿童癫痫脑电的混沌动力学特征[J].生物医学工程学.2007,42(4):835~841.
[12]王国光.提取混沌中信号方法的研究[D].吉林大学博士学位论文.2007,12:56~79.
[13]孙晓东,石要武,于晓辉.混沌干扰背景下的正弦频率估计新方法.[J]吉林大学学报(工学版).2009,39(5):1353~1357
[2]Ghassemian H.A review of remote sensing image fusion methods[J].Information Fusion,2016,32(PA):75-89.
[3]LV J CH,TAN K K,ZHANG Y.Convergence analysis of a class of Hyv?rinen Oja’s ICA learning algorithms with constant learning rates.IEEE Transactions on Signal Processing.2009,57(5):1811-1824.
[4]TAKAHASHI Y,TAKATANI T,OSAKO K.Blind spatial subtraction array for speech enhancement in noisy environment.IEEE transactions on Audio,Speech,and Language processing.2009,17(4):650~664.
[5]李鸿光,孟光.基于经验模式分解的混沌干扰下谐波信号的提取方法[J].物理学报.2004,53(7):2069~2073.
[6]Anil Kumar,Sucheta Sushan and M.K.Ghose.An Improved Secure Data Communication Using Blind Source Separation and Chaos.2009 11th IEEE International Symposium on Multimedia.2009:358~262.
[7]N.Doukas,N.Karadimas.A Blind Source Separation Based Cryptography Scheme for Mobile Military Communication Applications,WSEAS transactions on communications2008,7(12):1235~1245.
[8]A.Kumar,M.K.Ghose.Enhanced Chaos Based Spread Spectrum Information Security,International Journal of Information Technology and Knowledge Management.20081(2):497~510.
[9]A.Kumar,E.A.Elkhazmi,O.O.Khalifa,and A.Albagul Secure Data Communication Using Blind Source Separation,Proceedings of the International Conference on Computer and Communication Engineering Kuala Lumpur,Malaysia.2008:1352~1356.
[10]S.Li,C.Li,K.Lo,G.Chen.Cryptanalyzing an Encryption Scheme Based on Blind Source Separation.IEEE transaction on circuits and systems.2008,55(4):1055~1063.
[11]王兴元,孟娟,邱天爽.基于独立分量分析算法研究儿童癫痫脑电的混沌动力学特征[J].生物医学工程学.2007,42(4):835~841.
[12]王国光.提取混沌中信号方法的研究[D].吉林大学博士学位论文.2007,12:56~79.
[13]孙晓东,石要武,于晓辉.混沌干扰背景下的正弦频率估计新方法.[J]吉林大学学报(工学版).2009,39(5):1353~1357