Research on the Method of Features Extraction for Non-stationary Signal Based on Local Mean Decomposition
For solving the problem of features extraction on non-stationary transient impact signal, a new method of features extraction, namely, the local mean decomposition (LMD),is introducedin this paper.The new method decomposes such signals into a set of functions, each of which is the prod uct of an envelope signal and a frequency modulated signal from which a tirne-varying instantaneous frequency can be derived. The LMD method can be used to analyse non-stationary transient impact signal. Compared with wavelet decomposition, this algorithm not only avoids the frequency overlapping in the wavelet decomposition, but also overcomes the difficulty in selecting elementary wavelet. The numerical simulation shows the feasibility of the method. The example analysis of transient signal shows the reliability of the method.
transient signal features extraction LMD instantaneous frequency product function
Meng Zong Fan Fengjie
Institute of electrical engineering Yanshan University Qin Huangdao, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
163-167
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）