搜索资源列表
duobuyuce
- 多部预测自校正控制的算法仿真程序,用matlab写的。用的RLS带遗忘的最小二乘法递推。-Forecast for more than self-tuning control algorithm simulation program, written using matlab. Used in the RLS with forgetting recursive least square method.
work1
- 《神经网络与机器学习》中的rls算法程序-neural networks and learing machines
beamform_LMS_RLS
- LMS算法和RLS算法的波束形成matlab程序,希望对初学有用-LMS,RLS beamforming code matlab, which will offer great help for Beginner
RLS_RBF
- 基于递归最小二乘的神经网络算法程序,基于matlab-A rls-rbf
RCLS
- 在最小二乘参数估计值的基础上,引进补偿项σW2C-1D Ø 0,则获得了参数的无偏估计。针对模型噪声来说,RCLS算法的适应能力比RLS更好。-In the least squares estimation parameters, on the basis of introduction of compensation term σ W2C- 1 d Ø 0, then get the parameters of the unbiased estimation. Accordi
Recursive-least-squares
- 递归最小二乘算法,来至MIT大学的wingate教授,含3个源码-rls.m- Basic recursive least squares. qr_rls.m- Square-root version of RLS using a QR decomposition. bqr_rls.m- Block square-root version of RLS using a QR decomposition (you can add multiple rows at a time).
LMS_NLMS_RLS
- LMS算法和NLMS算法以及RLS算法演示程序-Lest Mean Square (LMS) Algorithm Recursive Least Square (RLS) Algorithm Normalized LMS (NLMS) Algorithm Demo