Kalman filter algorithm has the advantage of using state-space description of the system which is recursive form. With small amount of data storage, not only it can handle stationary stochastic processes, but also can handle multi-dimensional and non-stationary random process.
卡尔曼滤波算法的优点是采用状态空间方法描述系统，采用递推形式，数据存储量小，不仅可以处理平稳随机过程，也可以处理多维和非平稳随机过程。
参考来源 - 演化卡尔曼滤波及其在时间序列分析中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Quasi-error data were made and aiming errors were visible modified base on stationary random process.
在乎稳化的基础上进一步拟合误差序列，经平稳化处理后的瞄准误差得到了明显的修正。
Then, The WVD function's mechanism of suppressing additive random noise in stationary random process is analyzed theoretically.
然后，从理论上分析了它抵消平稳随机过程中与信号不相关的加性随机噪声的机理；
Usually, ionospheric Total Electron Conten (TEC) variation with time can be viewed as a stationary random process under quiet conditions.
平静状态下电离层总电子含量(TEC)随时间的变化通常可以视为平稳随机过程。
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