搜索资源列表
arburg
- ar burg算法的matlab程序，可供参考-ar burg algorithm matlab program, available for reference
AR
- 使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation
time_seris
- 时间序列预测算法。支持5种常见的算法 移动平均 非线性回归 指数平滑等-ar, ardemo ma
codes
- 基于累计量的奇异值－总体最小二乘法求AR参数 用奇异值－总体最小二乘法求AR参数 一般最小二乘法求AR参数 根据AR参数和自相关函数以及AR阶数用Cadzow谱估计子求出频谱密度-Based on the cumulative amount of singular value- total least squares method for AR parameter using singular value- total least squares method for AR parameter
ar
- ar参数估计，效果非常好,运用最小二乘法-Matlab ar program,it s very good
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
AR-matlab
- AR的功率谱matlab程序集，用于信号的分析-AR power spectrum matlab assemblies for the analysis of signals
AR
- 一个简单的matlab程序，用于实现自回归AR模型。- U4E00 u4E2A u7B80 u5355 u7684matlab u7A0B u5E8F uFF0C u7528 u4E8E u5B9E u73B0 u81EA u56DE u5F52AR u6A21 u578B u3002
基于matlab AR模型的最小二乘法实现
- 基于matlab AR模型的最小二乘法实现参数辨识，加上Word配合理解，相信你理解的会更快的。(Matlab AR model based on the least squares method to achieve parameter identification, coupled with Word understanding, I believe you will understand faster.)
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)
Least-Mean-Square-LMS-master
- %这是LMS的实现 测试LMS是否正确: 我将估计一个生成的AR函数的重量/系数(% This is an implementation of LMS % To test LMS if it works correctly: % I will estimate the weights/coefficients of a generated AR function)