搜索资源列表
ARMA
- 用经典的BJ方法估计ARMA模型，一个经典范例-Using the classical BJ approach to estimate ARMA models, here is an example
arma
- 信号处理，利用滑动平均自回归技术处理平稳信号-ARMA
A-masters-thesis-of-ARMA-model-
- ARMA相关模型及其应用的一篇硕士论文，挺好的-A master s thesis of ARMA model and its application, very good
ARMA
- ARMA模型定阶的资料，书中包含MATLAB中ARMA定阶代码，十分详细-ARMA model order information, the book contains a set of MATLAB ARMA order code, very detailed
ARMA
- 列举了一个实例，对ARMA模型的拟合和预测方法进行了验证，得到了较好的效果-He cited an example of fitting and forecasting methods ARMA model has been verified to give good results
ARMA时间序列预测工具箱
- 可以和matlab联合应用的时间arma预测工具箱，可对时间序列进行预测，以及对经典时间序列谱估计算法进行仿真。包括图形界面和说明文档。
arma
- matlab code for ARMA model used in load forecasting using time series analysis
arma
- 时间序列预测,是ARMA预测，能够实现短期预测。-Time Series Prediction
ARMA
- plot spectrum of a ARMA proce-plot spectrum of a ARMA process
Arma
- 风速预测，ARMA建模，基于时间序列法的风速预测MATLAB程序-Wind speed forecasting, ARMA modeling, wind speed prediction based on time series method matlab program
ARMA
- the application of ARMA representation has been uploded which are useful for signal processing applications.
ARMA
- 为建立完善的ARMA模型，进行的预处理，包括野点的分离去除，离散傅里叶变换去除周期项，以及正态性、平稳性检验-For the establishment of a perfect ARMA model, the pretreatment, including the separation of the wild point removal, discrete Fourier transform to remove the periodic term, as well as the normal
ARMA-kalman
- 先对数据进行ARMA建模，再在ARMA建模的基础上进行Kalman滤波已经运行通过，而且效果很好-ARMA modeling data first, and then on the basis of ARMA modeling performed by the Kalman filter has been running, and the effect is very good
ARMA-model-and-random-Walk-model
- 使用ARMA模型进行时间序列数据进行建模并预测-ARMA model is used to model and predict the time series data
ARMA
- ARMA时间序列模型，matlab源程序，有参考价值-ARMA time series model, matlab source, a reference value
ARMA
- ARMA模型，人工智能算法，用于做数据预测，效率高，预测相对精确-arma model
arma
- ARMA的MATLAB代码，包含自动定阶和参数识别等，代入数据可直接用，不坑。-ARMA MATLAB code, including automatic order and parameter identification, etc., can be used directly into the data, not pit.
RCode
- 基于R语言的时间序列分析，建立ARMA模型，和R安装包(Time series analysis based on R language)
ARIMAtest
- 对于时间序列模型建立ARMA预测模型，可对未来值进行预报。(For the time series model, the ARMA prediction model is established, and the future value can be forecasted.)
RLSKF
- 递推最小二乘拟合算法 用于实时拟合时间序列ARMA模型参数 例如 陀螺仪随机噪声 股票 交通等模型的参数拟合(Recursive least square fitting algorithm is used to fit the parameters of time series ARMA model, such as gyroscope, random noise, stock traffic and so on)