搜索资源列表
AR
- 基于C++编写的时间序列建模，可以通过函数直接求得各阶系数值-Based on time series modeling C++ written, it can be obtained directly by each order coefficient function
burg-
- 用Burg算法求AR模型的参数的计算与分析-Demand computing AR model parameters using the Burg algorithm and analysis
L-D
- 现代谱估计参数谱估计（AR模型）做频谱分析，基于Levison-Durbin快速递推法和Burg算法的源程序。 -Modern spectral estimation spectral estimation parameters (AR model) to do spectrum analysis, based on Levison-Durbin fast recursive method and the Burg algorithm source.
11111
- DSP AR模型下的噪音消除。简单可行。-Noise cancellation DSP AR Model. Simple and workable.
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)
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