搜索资源列表
code
- Parameter identification for a single-degree-of-freedom system using autoregressive moving average model: Application to cutting system
1-s2.0-S0264999314001746-main
- 论文：Relationship between the trading behavior of three institutional investors and Taiwan Stock Index futures returns-The relations between institutional investors behavior and futures returns are examined in this study. Evidence suggests that ne
TP_LPC
- 线性预测(LPC)语音信号编码与解码（包括轻音与浊音的产生，自回归过程等）-Linear prediction (LPC) speech signal coding and decoding (including the generation of light tone and dullness, autoregressive process, etc.)
TREGM
- 水利预测中的门限自回归模型，根据川大王文圣的论文编写-THRESHOLD AUTOREGRESSIVE MODEL
Rayleigh_fading
- 一老外写的采用p阶AR模型实现的瑞利衰落matlab仿真程序，参考文献为 Autoregressive modeling for fading channel simulation , IEEE Transaction on Wireless Communications, July 2005. -Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to Ba
VAR
- 时域模态分析方法中的多元自回归模型，用于识别结构的模态参数。-Multivariate autoregressive model of time domain modal analysis method, is used to identify structural modal parameters.
AR
- AR.m是自回归模型的简单程序实现，可用于对平稳数据的处理分析与预报。-AR. M is the simple program of autoregressive model, can be used to smooth data processing analysis and forecast.
ap
- 谱估计中的自回归模型（AP）算法，适合阵列信号处理初学者学习-Spectral Estimation autoregressive model (EM) algorithm
arima
- ARMA,AR,MA,ARIMA等实现自回归预测、齐次稳定回归预测算法-ARMA, AR, MA, ARIMA, etc. to achieve autoregressive prediction, homogeneous and stable regression prediction algorithm
ARFIMA_SIM
- The code performs the simulation of time series with autoregressive fractionally integrated moving average (ARFIMA) models that generalize ARIMA (autoregressive integrated moving average) and ARMA autoregressive moving average models. ARFIMA models a
fading
- Program to simulate Rayleigh fading using a p-th order autoregressive model AR(p) according to Baddour s work: Autoregressive modeling for fading channel simulation , IEEE Transaction on Wireless Communications, July 2005. -Program to simulate R
FFRLS
- 开环系统参数辨识，带遗忘因子的递推最小二乘估计法（FFRLS)，系统为单入单出的CAR(带控制量的自回归模型）模型,三阶系统-Open-loop system parameter identification, recursive least squares estimation method with forgetting factor (FFRLS), SISO system of CAR (with a controlled amount of autoregressive model)
AR
- Autoregressive model for forecasting and prediction
panel_effects_sar
- New Elhorst Panel Code文件包中的空间自回归模型包，官网下载，只做转载-New Elhorst Panel Code package spatial autoregressive model package, the official website to download, only reprint
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
Probability-Distribution-Estimation-for-Autoregre
- Probability Distribution Estimation for Autoregressive Pixel-predictive Image Coding
AR_predict
- 基于时间序列的自回归AR模型预测，有具体的注释-The autoregressive AR model based on time series prediction, a specific comments
2
- 自回归模型中的最小距离估计-非线性参数估计模型-Minimum distance estimation in autoregressive model
293532
- An AutoRegressive Moving Average Spectral Analysis toolbox f
test
- 用于研究时间序列的方法有AR（自回归）、MA（滑动平均）、ARMA（自回归滑动平均）这三种模型。而对于一个平稳时间序列预测问题,首先要考虑的是寻求与它拟合最好的预测模型。而模型的识别与阶数的确定则是选择模型的关键。 1.用 迭代生成1000个点（前2个点自定义）。 2.在这1000个点中取800点进行时间序列分析建立合适的模型。 3.利用剩余的200个点进行模型预测，并看其是否匹配，最后校正。 -Methods for studying time series are AR (a