搜索资源列表
MARBURG
- 用Burg算法求AR模型的参数。比自相关法有着较好的分辨率，但对于白噪声加正弦信号，有时可能会出现谱线分裂现象。-Algorithm for AR model parameters using the Burg. Than the autocorrelation has a better resolution, but the white noise added to sinusoidal signals, may sometimes appear as split.
MAR1PSD
- 由AR模型参数得到功率谱。AR，MA和ARMA是功率谱估计中最主要的参数模型。AR模型的正则方程是一组线性方程。-The AR model parameters obtained power spectrum. AR, MA and ARMA power spectrum estimation is the most important parameter model. Canonical equations AR model is a set of linear equations.
AIC
- 用于计算时间序列AR模型的系数和阶数，采用AIC算法-Calculate the coefficient of time series AR model and the order number
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
Untitled2
- AR模型不同阶次和不同采样点数得到的功率谱图比较，并与周期图法进行比较。-AR model of different orders and different sampling points obtained the power spectrum comparison, and compared with the cycle diagram method.
Davenport
- AR模型Davenport风速时程分析程序-AR model Davenport wind speed time history analysis program
comparz-cower
- 这是在AR模型的功率谱估计,对比经典谱估计有明显的优点,是一种新的估计,-This is in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages, is a kind of new estimates,
pespxnwtorevowel
- 这是在AR模型的功率谱估计,对比经典谱估计有明显的优点,是一种新的估计,-This is in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages, is a kind of new estimates,
LTSP
- This in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages, is a kind of new estimates,-This is in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages,
43936135
- This in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages, is a kind of new estimates,-This is in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages,
1
- 沉降监测中AR模型的阶数判断，自己编的，需要的欢迎下载。-Subsidence monitoring of AR model order judgment
自适应滤波器的算法实现
- 自适应滤波器的算法实现以及Matlab实现程序代码(The power spectrum of the signal is estimated by the AR model of the modern spectral estimation method)
ARMA
- ARMA 模型（Auto-Regressive and Moving Average Model）是研究时间序列的重要方法，由自回归模型（简称AR模型）与滑动平均模型（简称MA模型）为基础“混合”构成。在市场研究中常用于长期追踪资料的研究，如：Panel研究中，用于消费行为模式变迁研究；在零售研究中，用于具有季节变动特征的销售量、市场规模的预测等(ARMA model is an important method to study time series. It consists of auto
randomAR
- 随机水文学中一个AR模型的小程序，适合随机水文学的初级学习者学习。(it is used for Stochastic hydrology learning.it is a program for AR model.)
stationary random simulation
- 这是一个关于随机水文学模拟水位的程序，课后习题 的验证与编程(it is used for stationary random simulation.it is the answer of a AR model)
ar_duanshipingwen
- 循环建立armodel模型并提取armodel第一个参数，来表征肌肉疲劳程度。表征效果不错。(The armodel model is established by cycle and the first parameter of armodel is extracted to represent the degree of muscle fatigue. The effect is good.)
wcviausestimates
- 这是在AR模型的功率谱估计,对比经典谱估计有明显的优点,是一种新的估计,(This is in the AR model power spectrum estimate, compare the classic spectrum estimation has obvious advantages, is a kind of new estimates,)
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)
LMS
- LMS算法实现一阶AR模型的线性预测估计(LMS algorithm for linear prediction estimation of first order AR model)
LMS与RLS对比
- 预测信号由二阶AR模型产生，为二阶线性预测滤波器，LMS算法与RLS算法性能对比(The predicted signal is generated by the two order AR model, and is the two order linear prediction filter,performance comparison between LMS algorithm and RLS algorithm)