搜索资源列表
kalmanfilt
- 本程序是AR(2)模型进行数据建模,再进行kalman滤波,进行数据去躁处理,尤其用在光纤陀螺上-AR (2) model for data modeling, further Kalman filtering, data processing to impatient, especially with the fiber gyro
signal1
- 利用ARMA、AR、MA模型,以及周期图等进行系统参数估计-use ARMA, AR, MA model and cycle map for parameter estimation system
LMS_filter
- 仿真AR(2)模型的LMS自适应滤波器。 -simulation AR (2) Model LMS adaptive filter.
r_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\"-Program to simulate using Rayleigh fading a p-th order autoregressive model
burg.
- burg法估计AR(P)模型参数的算法。里面ef是前项误差bf是后项误差,mse是预测误差的均方值。程序的最后输出的是把各阶预测误差放在一个下三角距阵中-burg estimates the AR (p) model parameter algorithm. Ef is inside the former bf error is the latter error, mse is forecast error of the mean square value. Procedures for the
AutomaticSpectra
- Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed t
001
- 基于AR模型的间谐波检测算法的研究Based on the model of inter-AR harmonic detection algorithm research
003
- 基于AR模型的间谐波检测算法的研究Based on the model of inter-AR harmonic detection algorithm research
Rayleigh_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.
SVD-TLS.rar
- 利用奇异值分解-总体最小二乘法估计ARMA模型的AR参数,并利用参数进行谐波恢复仿真程序,The use of singular value decomposition- total least squares estimation of AR parameters of ARMA model and using the parameters of harmonic retrieval simulation program
AR
- 基于现行自回归预测模型的MATLAB代码,通过历史数据预测当前数据并实时修正当前权重参数值(Based on the MATLAB code of the current autoregressive prediction model, the current data is predicted by historical data and the current weight parameter values are corrected in real time)
AR_power_spectrum_perfect
- 对建立的AR模型,利用Levinson-Durbin递归公式计算了模型参数,对输入信号的功率谱密度进行了估计,并绘制了信号的时域图和功率谱图。(For the established AR model, the Levinson-Durbin recursive formula is used to calculate the model parameters, and the power spectral density of the input signal is estimated, an
ARmethod
- 基于AIR模型的线性滤波器法模拟风速时程(Linear Filter Method Based on AIR Model to Simulate Wind Speed Time)
信号处理第三章
- 用AR 模型的自相关法估计信号的功率谱,用AR 模型的Burg 算法估计信号的功率谱,最大熵功率谱估计,用自相关矩阵分解的MUSIC 算法估计信号的功率谱(The power spectrum of the signal is estimated using the AR model autocorrelation method. The power spectrum of the signal is estimated using the Burg model of the AR model.
AR
- 时间序列模型建立 损伤识别(Damage identification by time series model)
MATLAB
- 采用AR模型对脑电信号进行特征提取,亲测可用!!(Using AR model to extract EEG features, pro test can be used!!)
基于HHT-ELM特征提取的癫痫发作预报
- 关于对癫痫脑电信号分析的程序、AR模型程序(About epileptic EEG analysis program, AR model program)
基于MPC和PDELM的癫痫发作预报
- 关于对癫痫脑电信号分析的程序、HHT模型程序(About epileptic EEG analysis program, AR model program)
基于MPC和RVM的癫痫发作预报
- 关于对癫痫脑电信号分析的程序、MPC模型程序(About epileptic EEG analysis program, AR model program)
arima
- arima - (平稳性检验)根据时间序列的散点图、自相关系数和偏自相关系数、单位根检验(ADF),来判断数据的平稳性; - (平稳化处理)对非平稳的时间序列数据进行差分处理,得到差分阶数d; - (白噪声检测)为了验证序列中有用的信息是否已被提取完毕,如果为白噪声序列,(arima arima -(Stableness test) According to the time series of scatter plots, autocorrelation coefficients and