这种方法将一个复杂的非线性非平稳信号逐级分解成若干平稳的数据层与剩余的最终趋势项的叠加。
This method will gradually decompose a complex nonlinear and non-stationary signal into some stable data layers and the remaining final trend.
针对数控机床机械系统的非线性和振动信号的非平稳特性，引入局域波分析方法。
Then, Local Wave method is introduced in consideration of the non-stationarity characteristic of the vibrating signals from NC machines.
介绍了用于非平稳、非线性信号的四分位偏差分形维算法，并通过仿真实例验证了此计算方法的准确性。
The fractal dimension algorithm using quartile deviation on non-stationary and nonlinear signals is introduced. And the accuracy of this algorithm is verified by simulation.
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