自回归过程

词组短语

autoregressive process

与自回归过程相关的网络例句 [注：此内容来源于网络，仅供参考]

It also gives the definitions and stochastic properties of pure random process, random walk process and AR(1) autoregressive process, and analyses the simulative data of three typical random processes using wavelet analysis, frequency spectrum analysis and time-correlation analysis. The stochastic properties of time series and the trend component, the time length of time-correlation and the properties of main frequency of these three typical random processes are summarized as the templates for further research.

给出了包括纯随机过程、随机游走过程和 AR(1)自回归过程等在内的基本随机过程的定义和统计特征，并运用小波分析，时间相关和频谱分析对这三种基本随机过程的模拟数据进行分析，归纳出它们在时序上的随机特征、低频信号趋势项特征、时间相关的长短以及主频信号的位置等特点，作为研究 GPS 接收机误差和多路径效应的随机特征的模板。

Utilizing OPNET simulation software through simulation experiments this paper analyzed and compared four kinds of forecast methods—moving average, exponential smoothing, autoregressive process and autoregressive moving average process that can equipoise the loading of distributed Web server....

利用 OPNET仿真软件，通过仿真实验对移动平均、指数平滑、自回归过程和自回归移动平均过程等 4种能使分布式 Web服务器负载均衡的方法进行了分析和对比。结果表明，经改进的带预测功能的系统比传统的无预测功能的系统有更好的性能表现，并将其中的最佳方法应用于工程实践中

For simplicity, a one-dimensional autoregressive process is used to model the time-varying channel, and the least square algorithm based on pilot signals is adopted to track the time-varying channel fading factor a.

为了简化计算，采用一阶自回归过程对时变信道进行建模。

After that, three methods: correlation coefficient, Q statistic weight and autoregressive moving average process, were used to have the random inspection on Shanghai Index. The conclusion is Shanghai security market is still not the weak-from efficiency.

首先对价格序列的单位根检验除了进行ADF检验外，还考虑了更为一般的结构性突变后的单位根检验，得出价格序列存在单位根；其次采用自相关系数、Q统计量和构造自回归移动平均过程三种方法对上证综合指数进行随机游走检验，得出上海股票市场还未达到弱式有效性的结论。

This paper proposes a non-linear adaptive filtering method based on analyzing the performance of the conventional adaptive methods in the cases of that the NBI can be modeled as a single tone,an autoregressive stochastic process or narrow band BPSK digital modulation signals.

在分析线性自适应滤波抑制单频干扰、自回归过程窄带干扰和窄带BPSK调制信号干扰的性能的基础上，提出了一种非线性自适应波抑制方法。

The traditional Givens rotation algorithm involves root computation that needs more hardware resources, a Givens rotation algorithm without root and division computation is presented. And, combined with special structure of input signal matrix, a interference suppression algorithm with low computation is proposed. The narrowband interferences are modeled as autoregressive process and digital signal.

传统Givens旋转算法涉及平方根运算，要消耗较多硬件资源或需要多次循环来实现，为此，提出一种无平方根与除法运算的Givens旋转算法，并结合信号输入矩阵的特殊结构，给出一种低复杂度的干扰抑制算法，将窄带干扰建模为自回归过程以及数字窄带信号。

Dendrochronology study in Kunming is feasible. RES Tree ring chronology has high sensitivity, but STD chronology can explain more population information.

5通过对云南松树轮样本的年代学和气候学分析可知，在昆明地区可以利用云南松进行树木年轮研究，所建立的树轮宽度指数年表中自回归年表的敏感性较高，但去趋势序列年表反映的群体信息更多；轮宽与气候要素的显著相关关系，使利用轮宽变化的指数年表重建气候变化的历史过程具有可能性。

The dynamic coherence analysis based on multivariate autoregressive modeling was applied in the observation of synchronization between brain areas during cognitive processing.The result indicates that the synchronization of relative brain areas happens automatically despite the distractive stimulus during object perceiving,but the disturbed attention affects the synchronization of those areas involved in the judgement and voluntary movement as the way it affects the reaction time.

基于多变量自回归模型的动态相干性分析方法，被用于观察不同脑区在认知过程中的同步化，结果显示，人在感知和识别物体时，相关的脑区自动地发生了同步化的神经活动，这种同步化被证实是不受干扰刺激影响的，但被干扰的注意力确实影响了与判断和主动运动有关的脑区的同步化，而且这种影响的趋势与反应时间的分析结果一致。

A important result is the one-order expression of AR Yt = DYt-1 + E, from paralleling a high-order differential equation transformation into a one-order differential equation system, the one-order expression exposes that the AR is only a certain more-multivariable power series processAnd, if a process is described as an AR, the sufficient and necessary condition is the spectrum norm A of the coefficient matrix D less than one.

作者用高阶微分方程化一阶微分方程组的方法，获得多元弱平稳序列p阶自回归模型的一步滑动平均表达式，证明了AR的是一个更高维的幂级数的线性过程，从而，说明了AR关于序列依概率成立的充要条件是：该模型更高维的幂级数的线性过程的表达式中系数矩阵D的谱范数λ＜1。

The empirical mode decomposition method is introduced to extract the trend item of gyro's drift, but the local mean estimation isn't precision and the end effects exist in the conventional EMD method. The two-tap adaptive time-varying filter and the adaptive border estimation are used to modify the EMD. After the trend extraction, the method of time series analysis is used to make the autoregressive moving average model for stationary time series.

根据陀螺漂移的特性，提出采用经验模分解的方法对其趋势项进行提取，但传统的经验模分解方法存在局部均值估值不准，插值过程存在端点效应的问题，因此，本文又引入二拍自适应滤波及自适应边界估值来对原方法加以改进；在成功提取趋势项后，通过采用时间序列的分析方法，建立了陀螺漂移平稳时间序列的自回归滑动平均模型；并得出陀螺漂移模型可近似为常值加一阶马尔可夫过程这样一个结论。

与自回归过程相关的网络解释 [注：此内容来源于网络，仅供参考]

autoregression equation：自回归方程

autoregression 自回归 | autoregression equation 自回归方程 | autoregressive process 自回归过程

autoregression feature extraction：自回归特征抽取

autorefrigeration alkylation process 自冷冻烷基化过程 | autoregression feature extraction 自回归特征抽取 | autoregression 自回归

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

discrete autoregressive process：离散自回归过程

discrete approximation 离散逼近 | discrete autoregressive process 离散自回归过程 | discrete circuitry 分立电路

stationary autoregressive moving average process：平稳自回归滑动平均过程

实证分析:ARFIMAX (Auto Regression Fractional Integrated Movin... | 平稳自回归滑动平均过程:stationary autoregressive moving average process | 资本市场:ARFIMAX (Auto Regression Fractional Integrated Movi...

Markov branching process：马尔可夫分歧过程,马尔可夫分枝过程

Markov autoregressive scheme 马尔可夫自回归型式 | Markov branching process 马尔可夫分歧过程,马尔可夫分枝过程 | Markov model 马尔可夫模型

self-exciting point process：自激点过程

自回归模型|autoregression model, AR model | 自激点过程|self-exciting point process | 自激振荡|self-excited oscillation

random process：随机过程

*第五节 自回归AR(Autoregression)随机过程(Random Process)简介第五节 自动发电量控制(AGC)系统简介

Variance-stationary random signal：方差平稳随机信号

平稳时间序列分析:stationary random series analysis | 方差平稳随机信号:Variance-stationary random signal | 平稳自回归滑动平均过程:stationary autoregressive moving average process

Wiener：维纳

本书共分9章:随机过程的基本概念、平稳随机过程、马尔可夫过程、时间序列分析、时间序列建模、维纳最优滤波和预测、离散线性系统的最优估计、广义维纳(Winer)滤波、线性系统在随机输入作用下的分析. 每章后都配有适量习题. 4.1 自回归滑动合(ARMA)序列的定义及产生方法第6章 维纳(Wiener)最优滤波和预测6.2 连续维纳一霍甫(