stationary stochastic process meaning in Chinese
平稳随机过程
Examples
- Stability of the arbitrary rank derivatives of stationary stochastic processes
关于平稳随机过程任意阶导数的平稳性 - Since there are a lot of periodic non - stationary stochastic processes , i combine the kalman filtering and multiresolution analysis methods , and propose the wavelet - kalman filtering hybrid estimating and forecasting method . this method has the real - time , recursion and multiresolution characteristics . in this paper , using this method , i realize the real - time tracking and dynamic multistep forecasting in one cycle
针对自然、社会和经济等环境中存在有大量周期性的非平稳随机过程，我们将kf方法和多尺度分析方法相结合，提出了既具有实时性和递归性又具有多尺度分析能力的小波?卡尔曼滤波混合估计与预报方法，应用此方法可实现周期内对目标状态的实时跟踪估计和动态多步预报。