[1] 张贤达, 保铮. 非平稳信号分析与处理[M]. 北京: 国防工业出版社, 1998. Zhang Xianda, Bao Zheng. Non- stationary signal analysis and processing[M]. Beijing: National Defence Industry Press, 1998.
[2] 邹红星, 周小波, 李衍达. 时频分析:回顾与前瞻[J]. 电子学报, 2000, 28(9): 78-84. Zou Hongxing, Zhou Xiaobo, Li Yanda. Which time-frequncy analysis: A survey[J]. Acta Electronica Sinica, 2000, 28(9): 78-84.
[3] Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995.
[4] Huang N E, Shen Z, Long S R. A new view of nonlinear water waves: The Hilbert spectrum[J]. Annual Review of Fluid Mechanics, 1999, 31: 417-457.
[5] Huang N E, Wu M-L C, Long S R, et al. A confidence limit for the empirical mode decomposition and Hilbert spectral analysis[J]. Proceedings of the Royal Society of London Series A: Mathematical Physical and Engineering Sciences, 2003, 459(2037): 2317-2345.
[6] Kopsinis Y, McLaughlin S. Investigation and performance enhancement of the empirical mode decomposition method based on a heuristic search optimization approach[J]. Signal Processing, IEEE Transactions on, 2008, 56(1): 1-13.
[7] Hawley S D, Atlas L E, Chizeck H J. Some properties of an empirical mode type signal decomposition algorithm[J]. IEEE Signal Processing Letters, 2010, 17(1): 24-27.
[8] 吴顺德, 陈思予, 陈虹伯. 经验模态分解法之研究趋势探讨[J]. 台北科 技大学学报, 2009, 42(1): 1-20. Wu Shunde, Chen Siyu, Chen Hongbo. Survey on the recent developments of empirical mode decomposition[J]. Journal of Taipei University of Science and Technology, 2009, 42(1): 1-20.
[9] 钟佑明, 秦树人. 希尔伯特-黄变换的统一理论依据研究[J]. 振动与冲 击, 2006, 25(3): 40-43.Zhong Youming, Qin Shuren. Research on the uniform theoretical basis for Hilbert-Huang transform (HHT)[J]. Journal of Vibration and Shock, 2006, 25(3): 40-43.
[10] 钟佑明, 秦树人. HHT的理论依据探讨——Hilbert变换的局部乘积 定理[J]. 振动与冲击, 2006, 25(2): 12-15. Zhong Youming, Qin Shuren. Local product theorem of Hilbert transform-theoretical base of HHT[J]. Journal of Vibration and Shock, 2006, 25(2): 12-15.
[11] Delechelle E, Lemoine J, Oumar N. Empirical mode decomposition: An analytical approach for sifting process[J]. IEEE Signal Processing Letters, 2005(12): 764-767.
[12] Diop E H S, Alexandre R, Boudraa A O. Analysis of intrinsic mode functions: A PDE approach[J]. IEEE Signal Processing Letters, 2010, 17: 398-401.
[13] 徐冠雷, 王孝通, 徐晓刚, 等. 多分量到单分量可用EMD分解的条件 及判据[J]. 自然科学进展, 2006(10): 1356-1360. Xu Guanlei, Wang Xiaotong, Xu Xiaogang, et al. Conditions and criteria of multi-component into monocomponent using EMD method[J]. Progress in Natural Science, 2006(10): 1356-1360.
[14] Rilling G, Flandrin P. One or two frequencies? The empirical mode decomposition answers[J]. Signal Processing, IEEE Transactions on, 2008, 56(1): 85-95.
[15] Rilling G, Flandrin P, Gonçalvès P. On empirical mode decomposition and its algorithms[C]//IEEE-IURASIP Workshop on Nonlinear Signal and Iimage Processing (NSIP-03). Grado, Italy: IEEE, 2003.
[16] Cheng J S, Yu D J, Yang Y. Research on the intrinsic mode function (IMF) criterion in EMD method[J]. Mechanical Systems and Signal Processing, 2006, 20(4): 817-822.
[17] Xuan B, Xie Q W, Peng S L. EMD sifting based on bandwidth[J]. IEEE Signal Processing Letters, 2007, 14(8): 537-540.
[18] Chen Q H, Huang N, Riemenschneider S, et al. A B-spline approach for empirical mode decompositions[J]. Advances in Computational Mathematics, 2006(24): 171-195.
[19] Xu Z, Huang B, Xu S. Exact location of extrema for empirical mode decomposition[J]. Electronics Letters, 2008, 44(8): 551-552.
[20] Xu Z G, Huang B X, Li K W. An alternative envelope approach for empirical mode decomposition[J]. Digital Signal Processing, 2010, 20 (1): 77-84
[21] Zhao J P, Huang D J. Mirror extending and circular spline function for empirical mode decomposition method[J]. Journal of Zhejiang University Science, 2001, 2(3): 247-252.
[22] 邵晨曦, 王剑, 范金锋, 等. 一种自适应的EMD端点延拓方法[J]. 电 子学报, 2007, 35(10): 1944-1948. Shao Chenxi, Wang Jian, Fan Jinfeng, et al. A self-adaptive method dealing with the end issue of EMD[J]. Acta Electronica Sinica, 2007, 35(10): 1944-1948.
[23] 邓拥军, 王伟, 钱成春, 等. EMD方法及Hilbert变换中边界问题的处 理[J]. 科学通报, 2001, 46(3): 257-263. Deng Yongyun, Wang Wei, Qian Chengchun, et al. The bound processing problem of EMD and Hilbert transform[J]. Chinese Science Bulletin, 2001, 46(3) : 257- 263.
[24] 程军圣, 于德介, 杨宇. Hilbert-Huang变换端点效应问题的探讨[J]. 振动与冲击, 2005, 24(6): 40-42. Chen Junsheng, Yu Dejie, Yang Yu. Discussion of the end effects in Hilbert-Huang transform[J]. Journal of Vibration and Shock, 2005, 24 (6): 40-42.
[25] 刘慧婷, 张旻, 程家兴. 基于多项式拟合算法的EMD端点问题的处理[J]. 计算机工程与应用, 2004(16): 84-86. Liu Huiting, Zhang Min, Cheng Jiaxing. Dealing with the end issue of EMD based on polynomial fitting algorithm[J]. Computer Engineering and Applications, 2004(16): 84-86.
[26] 胡劲松, 杨世锡. EMD方法基于径向基神经网络预测的数据延拓与 应用[J]. 机械强度, 2007, 29(6): 894-899. Hu Jinsong, Yang Shixi. Application of EMD method with data extension technique based on Rbf neural network to time-frequency analysis[J]. Journal of Mechanical Strength, 2007, 29(6): 894-899.
[27] Cai C J, Liu W X, Fu J S, et al. A new approach for ground moving target indication in foliage environment[J]. Signal Processing, 2006 (86): 84-97.
[28] Lai C P, Narayanan R M, Ruan Q, et al. Hilbert-Huang transform analysis of human activities using through-wall noise and noise-like radar[J]. IET Radar, Sonar & Navigation, 2008, 2: 244-255.
[29] 张榆锋, 丁坤, 章克信, 等. 超声多普勒管壁搏动和血流信号的分离 研究[J]. 中国生物医学工程学报, 2007, 26(5): 641-646. Zhang Yufeng, Ding Kun, Zhang Kexin, et al. The separation in realtime of the Doppler blood flow and moving wall signals using EMD algorithm[J]. Chinese Journal of Biomedical Engineering, 2007, 26(5): 641-646.
[30] Jing Z, Srirama P K, Mazumder M K. E-SPART analyzer for Mars mission: A new approach in signal processing and sampling[J]. IEEE Transactions on Industry Applications, 2007(43): 1084-1090.
[31] Bai X R, Xing M D, Zhou F, et al. Imaging of micromotion targets with rotating parts based on Empirical Mode Decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46: 3514- 3523.
[32] 杨彦利, 邓甲昊. 基于经验模态分解的多普勒信号提取[J]. 制导与引 信, 2010, 31(3): 1-5. Yang Yanli, Deng Jiahao. Extraction of Doppler signal based on empirical mode decomposition[J]. Guidance & Fuze, 2010, 31(3): 1-5.
[33] 王宝帅, 杜兰, 刘宏伟, 等. 基于经验模态分解的空中飞机目标分类[J]. 电子与信息学报, 2012, 34(9): 2116-2121. Wang Baoshuai, Du Lan, Liu Hongwei, et al. Aircraft classification based on empirical mode decomposition[J]. Journal of Electronics & Information Technology, 2012, 34(9): 2116-2121.
[34] 张洋, 王健琪, 荆西京, 等. HHT在生物雷达回波信号噪声抑制中的 应用[J]. 医疗卫生装备, 2012, 33(5): 14-17. Zhang Yang, Wang Jianqi, Jing Xijing, et al. Application of Hilbert- Huang transformation for noise suppression in ultra wideband bioradar echo signal[J]. Chinese Medical Equipment Journal, 2012, 33 (5): 14-17.
[35] 于德介, 程军圣, 杨宇. 机械故障诊断的Hilbert-Huang 变换方法[M]. 北京: 科学出版社, 2006. Yu Dejie, Cheng Junsheng, Yang Yu. Mechanical fault diagnosis using Hilbert-Huang transform[M]. Beijing: Science Press, 2006.
[36] 蔡艳平, 李艾华, 徐斌, 等. 集成经验模态分解中加入白噪声的自适 应准则[J]. 振动、测试与诊断, 2011, 31(6): 709-714. Cai Yanping, Li Aihua, Xu Bin, et al. Adaptive guideline of ensemble empirical mode decomposition with gauss white noise[J]. Journal of Vibration Measurement & Diagnosis, 2011, 31(6): 709-714.
[37] 秦娜, 金炜东, 黄进, 等. 基于EEMD的高速列车转向架故障诊断[J]. 计算机工程, 2013, 39(12): 1-4. Qin Na, Jin Weidong, Huang Jin, et al. Fault diagnosis of high speed train bogie based on ensemble empirical mode decomposition[J]. Computer Engineering, 2013, 39(12): 1-4.
