[1] Dolores Borras, Castilla M. Wavelet and neural structure: a new tool for diagnostic of power system disturbances [J]. IEEE Trans Industry Applications, 2001, 37: 184-190.[2] Huang N E. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[J]. Procedures of the Royal Cociety of London,1998,A454(3):903-995.[3] Hyvarinen A, Oja E. Independent component analysis: algorithms and applications[J]. Neural Networks, 2000, 13(4-5):411-430.[4] 张智林,皮亦鸣,孙志坚.基于独立分量分析的降噪技术[J].电子科技大学学报,2005,34(3): 296-299.Zhang Zhilin,Pi Yiming,Sun Zhijian.Independent component analysis based denoising technology[J]. Journal of UEST of China, 2005, 34(3): 296-299.[5] 季忠,金涛,杨炯明,等.虚拟噪声通道在基于ICA消噪过程中的应用[J].中国机械工程,2005,16(4):350-353.Ji Zhong,Jin Tao,Yang Jiongming,et al. Application of virtual noise channels in the processing of signal de-noising with ICA[J].China Mechanical Engineering, 2005,16(4):350-353. [6] 陈东方 ,吴先良.采用EMD 方法消除瞬态散射回波中的高斯白噪声干扰[J].电子学报,2004, 32(3): 496- 498.Chen Dongfang ,Wu Xianliang. Recovery of signal from transient scattered response contaminated by Gaussian white noise based on EMD method. ACTA Electronica Sinica, 2004, 32(3):496-498. |