搜索资源列表
RLS
- 自适应信号处理方面的RLS自适应线性预测算法程序
RLS.rar
- 实现RLS的matlab程序，是递归最小二乘法的推广和运用,实现RLS的matlab程序，是递归最小二乘法的推广和运用
adaptive.rar
- 龚耀寰自己的《自适应滤波》课件，比较经典的。包括lms、rls等经典内容，以及空域自适应滤波等。,GONG Yao-huan own " adaptive filtering" software to compare the classic. Including lms, rls, such as classical, as well as the airspace, such as adaptive filtering.
本自适应LSL算法实现线性预测
- 本自适应LSL算法实现线性预测 以及考察LSL算法的收敛性： 与LMS、RLS算法进行性能比较 -The LSL algorithm adaptive linear prediction and to study the LSL algorithm convergence: the LMS, RLS algorithm performance comparison
RLS
- 递归最小二乘滤波器算法，包含对于单频正弦信号和实际语音信号的处理结果-Recursive least squares filter algorithm, that contains the single-frequency sinusoidal signal and the actual voice signal processing results
RLS
- 应用RLS算法，用Matlab编程实现线性预测.-Application of RLS algorithm, using Matlab linear programming implementation prediction.
rls
- 自适应rls的算法仿真，最后图包括学习曲线，误差权矢量-Rls adaptive algorithm simulation, the final plan, including the learning curve, the error weight vector
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
RLS
- 基于RLS算法的自适应线性预测,matlab代码，可以一用-Adaptive linear prediction based on RLS algorithm, matlab code, one can use
LSL_xingqian
- 最小二乘格型滤波器LSL 1、LSL算法实现线性预测 ； 2、考察LSL算法的收敛性； 3、与LMS、RLS算法进行性能比较。-LSL LMS RLS
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)
RLS算法
- RLS算法对一阶AR模型线性预测，包含完整源码，可以得到最优权值