Moreover we investigate the relations for Markov processes, martingales and stationaryprocesses systematically.
此外，还系统地研究了马氏过程、鞅及平稳过程之间的关系。
2
Since the decomposition is based on the local characteristic time scale of the data, it is applicable to nonlinear and non-stationaryprocesses.
由于分解是基于信号时域局部特征的，因此它特别适合用来分析非线性非平稳过程。
3
A new method, the sampling interval stat. analysis method, was set up to analyze the non-uniformly sampling signal of the wide-sense stationary random processes.