Through ARIMA model and standardization, the non stationary vibration series acquired in the field were transformed to stationary time series normally distributed.
将现场测得的非平稳振动序列通过ARIMA模型和标准化处理，转化成标准正态平稳时间序列。
Wigner distribution is introduced to analyze non stationary signal, and an application example of validating the simulation model of a proximity fuze is given.
引入瞬时谱估计分析非平稳随机信号，以及应用于某型近炸引信数字仿真模型验证的一个实例。
The real signals have often non-stationary characteristic, so if we analyse these time series using AR model directly, we cant obtain design result.
由于实际信号常常具有非平稳特征，直接应用AR模型进行时间序列分析，得不到理想的效果。
Aiming at the non-stationary character of signal noise of fiber optic gyro (FOG) in the stabilized platform, the signal model of FOG and some methods of noise reduction are analyzed and discussed.
针对陀螺稳定平台系统中光纤陀螺信号噪声的非平稳性特点，分析并讨论了光纤陀螺输出信号模型及常用陀螺信号滤波方法的优缺点。
The CARMA model generally assumed in self-tuning control frequently leads to the controlled systems lacking robustness to deterministic and non-stationary stochastic disturbances.
本文指出自校正控制中广泛采用的CARMA模型会导致控制系统对确定性扰动和非平稳随机扰动缺乏鲁棒性；
A dual grid, consisted of an adaptive 3-d grid and a stationary 2-d rectangular grid, is employed to model the fluvial processes under the control of non-uniform boundary conditions.
该文提出了由自适应三维网格和固定矩形网格组合的“双网格”方法来模拟非均匀边界条件控制下河道演变的思路。
The results show that the model is instability in the long run, most coefficient is non-stationary, and we can preferably forecast the coefficient by using the ARMA, GARCH model.
结果表明三因素模型结构不稳定，但短期比长期结构稳定性要高；大部分组合回归系数时序稳定性较差，同时ARMA和GARCH模型对每个回归系数时间序列进行预测显示有较好的预测能力。
This study could provide the foundation for further establishment of non-stationary rheological constitutive model.
其研究结果为建立岩石损伤流变本构模型奠定基础。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.
将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测，为原始非平稳时间序列的预测应用拓展了空间。
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。
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。
应用推荐