搜索资源列表
ARMA
- matlab代码关于ARMA时间序列模型-matlab code for ARMA time series model
power.rar
- 这是关于功率谱的Matlab仿真程序,其中有AR、MA、ARMA三种模型的源代码,相关函数的源代码、功率谱的源代码等等。,This is on the power spectrum of the Matlab simulation program
LMS
- 用总体最小二乘算法进行ARMA功率谱估计,本文提供一个估计谱的实例。-Total least squares algorithms using ARMA power spectrum is estimated that this article provide an example of the estimated spectrum.
arma_wind
- For generating wind speed model in ARMA
3
- 典型时间序列模型分析 设有ARMA(2,2)模型, X(n)+0.3X(n-1)-0.2X(n-2)=W(n)+0.5W(n-1)-0.2W(n-2) W(n)是零均值正态白噪声,方差为4 (1)用MATLAB模型产生X(n)的500观测点的样本函数,并会出波形; (2)用你产生的500个观测点估计X(n)的均值和方差; (3)画出理论的功率谱 (4)估计X(n)的相关函数和功率谱 -Analysis of typical time series model w
program
- 根据ARMA模型中Kaveh谱估计方法用C++求出仿真观测数据的功率谱密度-According to Kaveh ARMA model spectral estimation method using C++ simulation of the observation data obtained power spectral density
SVDTLS
- SVDTLS仿真 已知参数下用最小二乘法估计观测数据的ARMA模型的AR参数-SVDTLS simulation parameters are known observational data with least square method to estimate the AR parameters of ARMA model
ARMA
- ARMA模型对信号处理的很好工具,对模型进行拟合,有很好的拟合效果-ARMA model a good tool for signal processing, model fitting, a good fitting
ARMA
- ARMA模态参数识别,振动信号处理应用与研究,应用MATLAB编程实现模态参数提取研究-ARMA modal parameter identification and vibration signal processing applications and research, using MATLAB programming to achieve the modal parameter extraction of
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.
arma
- 随机产生一个时间序列,基于C语言的基础上建立ARMA模型,进行拟合和预测-Randomly generate a time series, based on the ARMA model is based on the C language, fitting and forecasting
ARMA-model-spectrum-estimation
- ARMA模型谱估计 通过观测信号来观察信号的功率谱密度-ARMA model spectrum estimation
ARMA
- 基于C++的arma模型拟合,其主要是验证arma(1,1)预测的效果,侧重于ACF和PACF的角度编程,不是用计量经济学软件做的-C++ based arma model fitting, which is mainly to verify arma (1,1) prediction results, focusing on the perspective of ACF and PACF programming, do not use econometric software
arma
- 时间序列预测,是ARMA预测,能够实现短期预测。-Time Series Prediction
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
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)
基于时间序列的ARMA预测模型matlab实例编程
- 基于时间序列的ARMA预测模型matlab实例编程(Matlab example programming of ARMA prediction model based on time series)
ARMA
- 采用MATLAB实现arma时间序列的建模与预报(Modeling and forecasting of ARMA implementation time series)
arma
- arma数据建模,预测数据,有数据,亲测有效(ARMA data modeling, prediction data)
ARMA模型
- R语言ARMA模型编写范例,使用R语言对金融时间序列数据进行ARMA模型拟合(The example of analyze finicial data through ARMA model using R software)
