这个问题来自平稳随机序列的相关函数。
This problem arises from the correlation functions of stationary stochastic sequences.
本文讨论了平稳随机序列通过线性时不变系统后的纯预测问题。
The pure prediction problem of a stationary random sequence passing through a linear time-invariant system is discussed.
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。
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.
本文证明了时间域内的平稳相关序列经离散傅里叶变换之后，听得到的是频域内的正交随机序列。
This paper proved that a frequency stochastic sequence obtained from a stationarily correlated time series by using discrete Fourier transform is orthogonal.
茧丝纤度曲线的预测研究茧丝纤度曲线可视为是长度有限且随机变动的非平稳时间序列。
Size curves of cocoon filaments can be regarded as non-stationary time series with finite length varying at random.
该方法得大连理工大学博土学位论文到的趋向性序列能更准确地逼近非平稳随机信号的趋向性曲线。
The trend component series derived in this way can near more exactly the trend component curve of the variance-stationary random signal.
相关系数平稳序列是从非平稳序列中分离出来的一类工程实际中常见且便于研究的随机序列，传统的平稳序列只是它的一个特例。
The correlation coefficient stationary series that is one kind of non-stationary series is familiar in engineering, and the traditional stationary series is just a special case of that.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
验证了时间序列分析方法在非平稳随机信号处理方面的可靠性；
The reliability of the time-series analysis method in processing unsteady random signals is verited.
该方法得到的趋向性序列能更准确地逼近非平稳随机信号的趋向性曲线。
The trend component series derived from this way can near more exactly the trend component curve of the variance-stationary random signal.
采用随机模拟方法，通过编程产生目标路谱的平稳随机路面不平度序列，并通过数理检验进行验证。
Use stochastic simulation, create the plainness sequence of the stable stochastic road surface for the target road spectrums with programming, and use logistic test to verify.
对线性叠加在中值系列中的平稳随机噪声，用默认软阈值小波消噪平滑中值序列中的随机噪声分量。
As for the stable stochastic noise component linearly superposed on the median series, it is smoothed by means of the default soft threshold wavelet de-noising.
通过求得两种随机变量的联合分布的表达式，证明了此类随机变量序列是强平稳的齐次马尔科夫链。
Then proves that this kind of random variables are the Markov chains with strong placidity by getting two kinds of expressions of the random variables combine distributing.
用平稳时间序列分析方法建立随机部分模型，并预测沉降随机部分值，二者之和即为某时期沉降预测值。
The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.
讨论了强平稳NA序列的随机指标中心极限定理，给出其成立的一个充分条件。
A sufficient condition of the central limit theorem is given for strongly stationary NA random variables.
采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
The trend part of the data can be fitted with BP (back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model.
采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
The trend part of the data can be fitted with BP (back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model.
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