- 更多网络例句与自回归变换相关的网络例句 [注：此内容来源于网络，仅供参考]
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Based on the wavelet, gray box and autoregression theory, create a time series model to simulate and predict runoff.
依据灰色系统、小波变换和自回归理论，建立了黑河干流出山径流的时间序列分解模型。
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The AR spectrum is not restricted by length of data, and AR spectrum parameters are sensitive for law of condition change. Autoregressive transformation is made to vibration signals, and then AR spectrum coefficients are got which can be utilized as feature vectors. Fault diagnosis method for centrifugal pump Based on AR and 2D-HMM is produced in this paper. The topology of this model and its parameters were introduced too.
利用AR谱不受数据长度的限制，AR模型参数对状态变化规律反映敏感的特点，以振动信号做自回归变换后的AR谱系数作为特征向量，将基于AR的2D-HMM引入到离心泵故障诊断中，提出了一种基于AR的2D-HMM故障诊断方法，并论述了该模型的拓扑结构和主要参数以及相应的训练和识别算法。
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According to the conclusion that the smoothness level of a data row can be increased through the transform of the counter-hyperbolic sine function ,two methods of autoregression forecasting based on the increasing time series are given.
依据"利用反双曲正弦函数变换提高数据列光滑程度"的结论，给出了两种异方差条件下递增时间序列自回归预测的改善方法。
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A model for finding the cryptic period of hydrological time series is proposed. The functions of the model include to apply logarithm transformation for making the sequence more stationary, to construct a corresponding auto-regression model for reducing the herteroskedasticity of residual, to determine the component of the prime period by periodogram analysis.
本文在讨论水文时序平稳性和异方差性的基础上，提出了检测水文时序隐含周期的模型，即对水文时序设计对数变换序列，提高序列的平稳性；建立相应的自回归模型降低残差的异方差性；通过对所得平稳序列进行周期图分析确定可能的主周期分量。
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Model for finding the cryptic period of hydrological time series is proposed. The functions of the model include to apply logarithm transformation for making the sequence more stationary, to construct a corresponding auto-regression model for reducing the herteroskedasticity of residual, to determine the component of the prime period by periodogram analysis.
bstract 本文在讨论水文时序平稳性和异方差性的基础上，提出了检测水文时序隐含周期的模型，即对水文时序设计对数变换序列，提高序列的平稳性；建立相应的自回归模型降低残差的异方差性；通过对所得平稳序列进行周期图分析确定可能的主周期分量。
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The measurement system error model analysis is introduced into power system real time network state analysis as an important part for the first time, which can improve on the state estimation quality and provide the capability to monitor the operation of the measurement system; 2. The theory and algorithm of the on-line estimation and update of measurement noise variance based on the relation between the residual variance and noise variance. The statistic properties of the sample variance are discussed and the relation between the estimation precision and sample size under given confidence level is derived; 3. The theory and algorithm of detection and identification of measurement bias are presented, which is based on the relation between residual mean and noise mean. The statistic properties of sample mean are discussed and the relation between estimation precision and sample size is derived; 4. The Givens orthogonal transformation algorithm is selected to be the essential algorithm of state estimation, the fast orthogonal transformation algorithm with damp factor and the algorithm which can handle the zero injection measurements efficiently are presented; 5. The quantity analysis theory of bad data detectivity and identifibility are presented, which describes the relation between the elements in matrix W〓 and bad data amplitude and can provide the theory base for measurement system design and valuation.
一、首次将量测系统误差模型分析做为一个环节引入电力系统实时网络状态分析中，为EMS系统增加了实时监视系统运行、修正量测系统误差模型的新功能，进一步发挥了实时网络状态分析应用软件的潜力；二、首次提出了应用样本方差在线估计与修正量测系统误差方差的基本理论，讨论了样本方差的统计性质和概率分布，推导出了样本容量、估计精度和置信度之间的关系，给出了在线估计与修正量测系统误差方差的算法；三、首次提出了应用样本均值在线检测与辨识量测偏差的基本理论，讨论了样本均值的统计性质，推导了样本容量、估计精度和置信度之间的基本关系，给出了在线检测与辨识量测偏差的算法；四、在状态估计算法设计中，以Givens变换算法做为基本算法，提出了快速正交变换阻尼因子法和可以有效地处理零注入量测的混合法，并对实时应用中的一些问题进行了讨论；五、提出了不良数据可检测性与可辨识性的定量分析理论，揭示了描述量测系统配置、网络结构与参数的残差灵敏度矩阵中的元素与不良数据的幅值在可检测、可辨识能力上的定量关系，为量测系统配置设计与评价提供了理论基础；六、综合国内外最新研究成果，采用自适应自回归预测技术和稀疏矢量技术，构造了较完善的不良数据检测与辨识算法。
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This paper show that the transformation using arc-hyperbolic sine function can smooth the data row.
证明了利用反双曲正弦函数变换能提高数据列的光滑程度，给出了改善的自回归预测方法，并且举例加以论证。
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A new conclusion is put forward,in which the smooth degree of the data row can be enhanced by means of the arc-hyperbolic sine function transformation.
提出了"利用反双曲正弦函数变换提高数据列光滑程度"的新结论，获得了递增时间序列改善的自回归预测新方法。
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After standardizing transform of fluctuant component series of size curves of cocoon filaments, the simulation method of the series is brought forward by means of auto-regressive model of stationary time series. The simulation and analysis are carried out.
茧丝纤度曲线波动分量通过标准化变换处理后，近似看作平稳时间序列，利用平稳时间序列的自回归模型，给出了这种时间序列的模拟方法。
- 更多网络解释与自回归变换相关的网络解释 [注：此内容来源于网络，仅供参考]
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autoregressive process：自回归过程
autoregression equation 自回归方程 | autoregressive process 自回归过程 | autoregressive transformation 自回归变换
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autoregressive transformation：自回归变换
autoregressive series 自回归级数 | autoregressive transformation 自回归变换 | autoregressive 自回归的
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Translation invariant wavelet packet denoising：平移不变的小波包去噪
小波变换:Wavelet algorithm | 平移不变的小波包去噪:Translation invariant wavelet packet denoising | 小波包自回归谱分析:wavelet packet and autoregressive spectrum analysis