它可统一处理平稳或非平稳arma信号的最优滤波、平滑和预报问题。
It can handle the optimal filtering, smoothing and prediction problems of stationary or non -stationary ARMA signals in the unified framework.
从三次样条函数入手，提出一种新的适合非平稳数据分析的预测滤波器设计方法。
The paper presents a new method to design a predictive filter which suits to analyze non-stationary data.
针对旋转机械非平稳信号的特点，提出采用谐波小波滤波对现场采集的振动信号进行故障诊断的新方法。
A new method of fault diagnosis of in-situ sampled vibration signals is introduced for the non-stationery signals of rotating machines by using the harmonic wavelet filtering.
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