Wu Zhaohua, Huang Norden, Long Steven, et al. On the trend, detrending, and variability of nonlinear and nonstationary time series[J]. Proceedings of the National Academy of Sciences, 2007,104(38): 14889-14894.
[2]
Craigmile P, Guttorp P, Percival D. Trend assessment in a long memory dependence model using the discrete wavelet transform[J]. Environmentrics, 2004,15(4):313-335.
[3]
Sang Yanfang, Wang Zhonggen, Liu Changming. Discrete wavelet-based trend identification in hydrologic time series[J]. Hydrological Processes, 2012(14):1274-1284.
[4]
王济,胡晓.Matlab在振动信号处理中的应用[M].北京:中国水利水电出版社,2006:69. Wang Ji,Hu Xiao. Application of Matlab in vibration signal processing [M]. Beijing: China Water Power Press,2006:69. (in Chinese)
[5]
Esterby S R.Review of methods for the detection and estimation of trends with emphasis on water quality applications[J]. Hydro Process, 1996(10):127-149.
[6]
赵宝新,张保成.信号的多项式趋势项研究和Matlab实现[J].有色设备,2009(2):16-19. Zhao Baoxin, Zhang Baocheng. Research on signal multinomial trend and implementation on Matlab[J]. Non-Ferrous Metallurgical Equipment,2009(2):16-19.(in Chinese)
[7]
朱学峰,韩宁.基于小波变换的非平稳信号趋势项剔除方法[J].飞行器测控学报,2006(5):81-85. Zhu Xuefeng, Han Ning. Removal of trend from non-stationary signal based on wavelet transformation[J]. Journal of Spacecraft TT&C Technology, 2006(5):81-85.(in Chinese)
[8]
Stephane G M. A theory for multi-resolution signal decpomposition: the wavelet representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1989,11(7):674-693.
[9]
Torrence C, Compo G P. A practical guide to wavelet analysis [J]. Bulletin of the American Meteorological Society, 1998,79(1):61-78.
[10]
郭亚.振动信号处理中的小波基选择研究.合肥:合肥工业大学,2003. Guo Ya. Research on wavelet base selection for vibration signal processing. Hefei: Hefei University of Technology, 2003.(in Chinese)