搜索资源列表
Power-spectrum-estimation
- 功率谱估计的各种方法的matlab代码 包括AR模型,ESPRIT,周期图谱,MUSIC,PISARENKO等方法-Power spectrum estimation method matlab code, including the method of AR model, ESPRIT, the cycle map, the MUSIC, PISARENKO etc.
AR
- 用matlab编写的AR(n)模型最小二乘法建模及适应性检验-Matlab prepared using AR (n) model and least square modeling and adaptive testing
M
- ar模型,多项式乘法,潮流计算,NSGA,场景削减的MATLAB编程代码-ar model, polynomial multiplication, flow calculation on NSGA, the scene cuts MATLAB programming code
burg
- matlab 实现ar模型中的burg 算法 ,源程序非调用 。可以直接使用-The matlab burg algorithm in ar model, source of non-call.
felogit
- AR模型预测 MATLAB中常用的一些程序代码-AR model prediction in MATLAB to code
MeArModel
- MATLAB仿真实现AR模型,Yule-Walker 功率谱估计及AR模型频率响应-MATLAB simulation of the AR model, the Yule-Walker power spectrum estimation and the AR model frequency response
myBurg
- 根据burg算法实现的AR模型功率谱计算-Burg algorithm AR Model Power spectrum calculation
Signal-frequency-estimation
- 对于噪声中的正弦信号,通过周期图法、AR模型法、Pisarenko谐波分解算法、MUSIC算法和ESPRIT算法进行频率估计,使用N=128个数据样本进行估计. -By the periodogram method, AR model method, the Pisarenko harmonic decomposition algorithm, MUSIC algorithm and the ESPRIT algorithm for sinusoidal signals in noise,
estimate_AR
- 采用L-D算法,估算自回归模型(AR模型)系数。L-D法是一种矩阵递推估计法-LD algorithm to estimate the coefficients of the autoregressive model (AR model). The LD method is a matrix recursive estimation method
heizizhouqi
- 采用经典谱估计的周期图法和基于AR模型的Burg算法两种方法进行谱估计,计算太阳黑子的活动周期。-Classical spectral estimation, periodogram and Burg algorithm are two methods based on AR model spectrum estimation, calculation of the sunspot activity cycle.
4643df097701
- arma 实现了数据从文件的输入,ar模型预测,arma模型预测,卡尔曼滤波器模型预测,利用图形用户界面编写-Realized the data from the file input, ar model predictions, arma model prediction, Kalman filter model predictions, using a graphical user interface for the preparation of-arma matlab实现了数据从文件的输入
ar_burg
- 经典谱估计AR模型的BURG算法 可与自带函数PBURG对比-The classic AR model spectrum estimation BURG algorithm and comes with a function PBURG contrast
RLS
- 本程序基于一阶AR模型,u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片-This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the t
LMS
- 基于一阶AR模型u(n)=0.99u(n-1)+v(n),白噪声方差0.93627.步长0.05.分别使用M=2和M=3抽头的滤波器,用LMS算法实现u(n)的线性预测估计。并附仿真图已被参考。-Based on a first-order AR model u (n) = 0.99u (n-1) the+v (n), the white noise variance 0.93627 step 0.05. Respectively with M = 2 and M = 3-tap filter,
arsvm2
- 利用ar模型和近似熵方法对癫痫脑电信号进行识别处理-Ar model and approximate entropy method epileptic EEG recognition processing
burg
- 伯格算法实现谱估计,不同阶数的AR模型功率谱估计-Berg algorithm spectral estimation, different order AR model power spectrum estimation
AR_LMS
- 一阶AR模型使用LMS算法,使用M=2,M=3两种滤波器,步长已选择-A first-order AR model uses the LMS algorithm, M = 2, m = 3 two filters, the step size has been selected
AR
- 改进的AR时间序列分析模型,加入了窗口的概念,源码里有实例-Improved AR time series analysis model, adding the concept of the window, there are instances where the source
MATLAB
- 用matlab来模拟LD算法并且模拟计算AR模型 这是现代信号处理中的重要内容!-using matlab to simulate LD algorithm to compute AR model paremeters
AR_zinxizhunze
- AR模型AIC,CAT等几种信息准则的使用来确定阶数-AR model AIC, CAT, several information criteria used to determine the order