non-stationary random walk model 不稳定随机走动模型
three-step non-stationary seismic random model 三段式非平稳地震动随机模型
The sample with the trend function rejected is a stationary random sequence of a sample. This stationary random sequence is fitted in with the ar (3) model and a statistical test is put to this model.
从样本中剔除趋势后是平稳随机序列的一段样本，对该平稳序列用AR(3)模型进行拟合，并对模型进行统计检验。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
三重马尔科夫随机场(TMF)模型非常适合处理非平稳、非高斯图像的分割问题。
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