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。
Quasi-error data were made and aiming errors were visible modified base on stationary random process.
灰色模型实时误差预报修正的动态测量误差序列同样为随机过程，也具有上述基本特性。
The series of dynamic measuring errors of the predicting correction of real-time errors of gray model is also a random process and has these four basic characteristics.
对指数平滑预报器一步预报误差序列进行实时建模和实时修正的基础上，实现对未来值的自校正预报。
The self-tuning prediction of the future value can be achieved on the basis of real time model-building and modification to the one-step predicting errors sequence in the exponential smooth predictor.
复杂图形的例子包括专业化的条形图和须状图，带有完整误差的时间序列条形图，颜色编码和密度图，以及许多其他可能的图。
Examples of complicated graphs include specialized bar-and-whiskers plots, time-series with sophisticated error bars, color encodings and density plots, and many other possibilities.
用时间序列分析方法对镗削加工误差进行了分析和建模，建立了相应的AR误差模型。
Analysis and modeling are made for the boring error by using time sequential analysis way, and corresponding ar error model is established.
对运动人手序列图像的对比跟踪实验表明，这种融合使得可见光图像中动态轮廓线平均跟踪误差减小了60.25%。
A contrasting experiment on moving hand image sequence indicates average tracking error of dynamic contour has decreased by 60.25% in visible image with this image fusion.
最后，通过这些误差界，我们给出了由投影梯度方法产生的迭代序列收敛的条件。
Using the error bounds, we give a condition for convergence of the sequence of iterates generated by projected gradient methods.
预报误差校正是基于时间序列分析、参数估计和最优预报原理形成的。
The prediction error correction is based on time series analysis, parameters estimation and optimum prediction principle.
通过算例分析，无论从坐标序列的均值还是中误差都验证了本方法的有效性。
And both the mean and the mean square error of the coordinate series are testified this method.
文中首先介绍了时间序列法预报原理，接着应用该原理给出供热负荷和模型误差的预报。
First, it introduces time series analysis principle. Then, heating load and model error prediction are given by this principle.
此外，采用时间序列分析方法，建立了IFOG的随机漂移误差模型。
Furthermore, a random drift error model for IFOG is built by the method of time series analysis.
最大熵反褶积是在地震子波为最小相位条件下进行的，其向前预测误差就等于反射系数序列。
The maximum entropy deconvolution is performed under the premise that seismic wavelet is of minimum phase, so the forward prediction error is equivalent to reflection coefficient series.
在误差为AR(1)时间序列的情形下，给出了半参数回归模型的拟极大似然估计方程，并研究了拟极大似然估计量的存在性。
When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.
给出了基于差分最小均方误差(DMMSE)准则的短扩频序列ds- CD MA自适应多用户检测算法。
Algorithms based on DMMSE (Difference minimum mean square error) criterion of adaptive multi users detector for short spreading sequences DS CDMA systems is proposed.
对于非等时序列的时数分离可以建立模型，但这种模型误差分析较困难。
The error analysis by the Time-data -Separation Approach of unequal interval sequence is difficult.
采用加权的均方误差准则来优化估计模型的参数，实现对测量序列的抗扰最佳估计。
To obtain the best estimation of anti-jamming for measured series, the rule of weighted-square error is introduced to optimize the parameters of estimating model.
应用时间序列法对厦门城市日供水量进行预测和误差分析，具有较强的实用价值。
The time sequence method which is quite valuable for use, is applied to the forecast and error analysis of daily water supply amount in Xiamen City.
结合小波分析和神经网络的特点，建立了应用于船舶横摇运动时间序列预报的误差反传小波神经网络结构并给出了算法。
Combining wavelet analysis and neural network characteristics, the error back propagation wavelet neural network based structure and algorithm to ship roll time series prediction are given.
最后给出了误差项服从AR(1)时的严平稳收益序列中参数的一个迭代算法。
Finally, an iterative algorithm of estimated parameters in the strictly stationary return sequences, which error terms are subject to ar (1) is put forward.
以新息序列的平均平方和为评价函数优化扫描光谱的峰位，消除扫描过程中可能产生的波长定位误差，从而保证滤波结果的准确性，并使实际检出限显著改善。
The whiteness of the innovation sequence for an optimal filter was explored to be the criterion for the correction of the wavelength positioning errors which may occur in spectral scans.
提出了一种误差掩盖算法，作为在解码器端的后处理工具，以恢复视频序列在传输过程中丢失的运动矢量和图像块。
An error concealment algorithm is proposed as a post-processing tool at the decoder side, with the aim of recovering the motion vectors and image blocks lost during the video sequence transmission.
最后，采用时间序列分析方法建立了半球谐振陀螺的随机误差模型。
Finally, the random error model of HRG is established by using time series analysis method.
在此基础上建立时变序列预测公式及误差估计公式，给出其回归与时变自回归模型。
The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.
方法采用相位敏感方法消除相位误差，保存反转恢复序列中磁化矢量的极性。
Methods The phase sensitive method was used to remove the phase errors and restore the polarity of theinversionrecovery data .
根据该差分方程的特征值表达式讨论了AGC模型设定序列的稳定区域和稳态误差与AGC模型参数之间的关系。
On the basis of the expression of characteristic value of the differential equation, the relationship between the stable domain, steady state, steady-state error and AGC model parameters is discussed.
改进算法可有效减小截取被控对象时间响应(单位方波或单位阶跃响应)有限序列为内模的截断误差。
The improved algorithms can reduce significantly the truncated error of the truncating unit pulse (or step) response time-sequence of the controlled process as the internal model.
但是对实测的相关序列，我们可以利用相关序列的全部来减小误差对参数估计的影响。
But for case of measured correlation sequence the whole sequence may be used to reduce the effect of error on model parameter estimation.
又以预测误差平方和SSE最小为目标，构造了优选并自动生成最佳平滑参数使平滑模型得以优化的最速下降算法，增强了指数平滑模型对时间序列的适应能力。
Aiming the square sum of error (SSE), we construct the algorithm to iterate and select an optimal parameter for optimizing the new models, which ADAPTS the model to time series more.
结果表明，基于时间序列模型的卡尔曼滤波器有效地减小了随机误差。
The results show that the filter based on the time sequence model can effectively decrease the random error.
此外，当误差项是一阶滑动平均序列时相应的检验问题也作了讨论。
The paper also discusses the corresponding problem when the errors in nonlinear regression models is an MA(1) sequence.
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