搜索资源列表
MARBURG
- 平稳随机信号的参数模型功率谱估计——模型的Burg法求参数-AR-BURG
ARMAcanshuguji
- 利用先后估计法对arma模型进行参数估计-最小二乘法得到的AR部分的估计参数-arma model parameter estimation
5956452ARMAandARandMA
- 利用ARMA、AR、MA模型，以及周期图等进行系统参数估计-The use of ARMA, AR, MA model, as well as the periodogram estimation of system parameters such as
myAR
- 该程序给出了基于AR时间序列建模的陀螺随机漂移模型，并利用卡尔曼滤波方法滤除陀螺随机漂移，经验证，有良好效果。-failed to translate
ARMA
- 该程序是对在已知和未知参数的情况下用最小二乘法估计观测数据的ARMA模型的AR参数的仿真。-The program is known and the unknown parameters in the case of observational data with least square method to estimate the ARMA model of AR parameters of simulation.
15883878AR_MATLAB
- matlabAR预估模型... matlabAR预估模型-matlab AR
DGM
- 离散灰色预测模型和AR预测模型的组合预测，matlab-Discrete gray prediction model and predict the combination of AR prediction model, matlab
lsandsvd-tls
- 用一般的最小二乘方法和SVD—TLS（总体最小二成）方法估计观测数据的ARMA模型的AR参数。-Least squares method and with the general SVD-TLS (Twenty-general minimum) to estimate the ARMA model of observed data AR parameters.
MARBURG
- 根据Burg算法估计AR（自回归）模型参数。-According to Burg algorithm to estimate AR (AR) model parameters.
33957049WTE
- 阐述了GPS坐标时间序列分析的原理和方法，包括线性拟合、相关函数法、AR（P）模型预测、功率谱、小波谱以及小波熵，通过仿真实验验证了各种方法的优点。-2. The theory and methods of GPS coordinate time series analysis are expounded, including linear fitting, correlation function, AR (P) model prediction, power spectrum, wavele
BVAR_Gibbs
- 贝叶斯分析，比较复杂的自回归分析。VAR模型，注意比AR要先进的多！-Bayesian estimation, prediction and impulse response analysis in VAR models using the Gibbs sampler.
AR_P_Choose_AIC
- ARMA模型用于时间序列预测模型中P的选择原则，AIC原则程序-choose of p for AR model
TVAR_Lib
- 是一个时变AR(Time Varying Autoregressive)模型的工具箱。-It is a toolbox for model of Time-Varying Autoregressive.
lms_ar
- 用lms迭代算法求解AR参数模型的权向量及学习曲线的训练-using lms to find out the learning plot
ARToolMik
- AR增强现实的初音模型！详细带注释的代码，大家可以好好学习一下哦-AR augmented reality Hatsune model! Detailed annotated code, we can learn!
Data-analysis-of-the-application
- 把时间序列分析的方法和理论引入业务监控中。本文的创新点 在于利用AR州人模型建模前，通过孤立点和变点检测对数据做预处理， 先用控制图法去除孤立点，然后用变点检测的方法定位变点，最后对变 点前后的时间序列分段预测，从而提高了预测的准确度和可信度 -Time series analysis methods and theoretical introduction of the service monitoring. Innovation of this paper is to use
delay_with_increasing_AR
- MATLAB模型：HMIPv6&MIPv6在AR数增加情况下的延迟-MATLAB model: HMIPv6 total additional overhead
HO_with_inreasing_AR
- MATLAB模型：HMIPv6&MIPv6在AR数增加情况下的额外开销-MATLAB model: HMIPv6 & MIPv6 overhead in case of increase in AR number
08582053AR
- AR预测模型算法实例，针对现在数据对未来数据进行预测，程序中给出油价实例非常实用！-AR prediction model algorithm examples, now for the future for data prediction, very useful!!
arma
- 实现了二维的ARMA/AR时序模型，可用于结构模态识别。-ARMA/AR timing of the two-dimensional model can be used to structure modal identification.