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psd
- 计算ARMA(p，q)模型的功率谱密度。 形参说明： b——双精度实型一维数组，长度为(q+1),存放ARMA(p，q)模型的滑动平均系数。 a——双精度实型一维数组，长度为(p+1),存放ARMA(p,q)模型的自回归系数。 q——整型变量,ARMA(p,q)模型的滑动平均阶数。 p——整型变量,ARMA(p,q)模型的自回归阶数。 sigma2——双精度实型变量,ARMA(p,q)模型白噪声激励的方差
PreArSp
- 小波分解和自回归线性模型相结合用来进行预测的matlab源码-wavelet decomposition and self-linear regression models used to predict combination of Matlab FOSS
zhishuyc
- 用matlab实现的自回归时间序列预测电力短期负荷，已经用于实际的工程-using Matlab achieved since reunification time series forecasting electricity short-term load, has been used for the actual project
ARestimate
- 基于自回归,全极点的AR模型,对随机信号的进行的功率谱估计.-based on the return of all Poles AR model of random signal of the power spectrum estimation.
autoc
- 自回归模型相关的东东。-regression models related to the Eastern.
ekf1153
- 卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。 -Kalman Filter is a highly efficient recursive filter (autoregressive filter), It can complete a series of noise measurements included (in English
ARMAwithNExT
- 自然激励下建筑结构的模态参数识别，首先通过自然激励技术（next）得到结构的自由响应，然后由自回归滑动平均（arma）方法识别模态参数。-natural incentive structures under the modal parameter identification, First through natural incentive Technology (next) to be free to respond to the s
AR
- 随机信号处理AR自回归模型，谱分析的一种重要方法-Random signal processing AR auto-regressive model, spectral analysis of an important method
first-orderautoregressivescheme
- 信号检测理论上机实验报告(包含源码),关于一阶自回归信号模型-Signal detection theory, experiment report (includes source code), on the first-order autoregressive signal model
zhg
- 计算多元自回归，剩下的自己看吧，自己琢磨的，不一定很好-Since the calculation of multiple regression, and the rest of their look, their own refined and do not necessarily have good
Auto_Regression
- 对数据进得自回归分析预测。并生成下一周期的预测值-Of data into the prediction derived from the regression analysis. And generate the next cycle of prediction value
backAR
- 二阶自回归信号模型AR（2） 希望能对大家有用 献给大家了-Signal model of second-order autoregressive AR (2) useful for all of us hope that we all have had a dedicated
AR
- 运用自回归滑动平均模型进行预测的matlab 程序-The use of autoregressive moving average model to predict the matlab program
SVM
- SVM支持向量机的时间序列预测、分类、自回归代码-SVM
p3181
- 用奇异值和总体最小二乘法来求自滑动平均自回归的回归参数问题-Using singular value and the total least squares method for autoregressive moving average since the return parameters
recognaztion
- 在线签名鉴定，时间弯折算法，签名分段算法，自回归分析-Online signature identification, time bending algorithm, a signature sub-algorithm, since the regression analysis
L_D
- 用Matlab程序实现P阶Levinson-Durbin算法。以一个2阶自回归模型（参数为b0=1, a1=0, a2=0.81）和一个2阶滑动平均模型（参数为b0=1, b1=1, b2=1）为例，选取观测数据长度为1000，分别用一个AR(2)模型和一个AR(10)阶模型来估计其功率谱。设激励信号模型的高斯白噪声的均值为0，方差为1。用Levinson-Durbin算法迭代计算AR模型参数，并用估计出的AR模型参数画出观测信号的功率
自回归模型课件与程序
- 自回归模型，向量自回归模型是AR模型的推广。[1] 这个概念应当区别于金融风险管理的VaR模型。VaR模型是用于衡量市场风险和信用风险的大小，辅助金融机构进行风险管理和监管部门有效监管的工具(Autoregressive model and vector autoregressive model are the extension of AR model)
自回归模型课件与程序
- 自回归模型课件与程序,j机器学习；人工智能(Autoregressive model courseware and program, j machine learning)
模拟验证一阶自回归模型中自回归系数
- 运用Python的数组和矩阵操作模拟验证一阶自回归模型中，自回归系数OLS估计量的有限样本偏差问题。(Python array and matrix operations are used to simulate and verify the finite sample bias of OLS estimator of autoregressive coefficient in the first-order autoregressiv