搜索资源列表
yuce
- 有关于隐式广义预测的介绍，主要思想就是通过RLS辨识G中的g1,g2,等
rls_estm
- This directory contains utility for implementing generic Reqursive Least Squares (RLS) algorithm. The example shows how one can use the utility to estamate the parameters of a simple linear discrete time system.
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
lubanglssvm
- 基于鲁棒学习的最小二乘支持向量机及其应用 鉴于最小二乘支持向量机比标准支持向量机具有更高的计算效率和拟合精度, 但缺少标准支持向量机的鲁 棒性, 即当采样数据存在奇异点或者误差变量的高斯分布假设不成立时, 会导致不稳健的估计结果, 提出了一种鲁棒 最小二乘支持向量机方法. 该方法在最小二乘支持向量机基础上, 通过引入鲁棒学习方法来获得鲁棒估计. 仿真分析 及某湿法冶金厂的应用实例验证了该方法的可行性和有效性.- Least squares support vector mac
10.1.1.11.5905
- This paper compares performance of nite impulse response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation resul
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
RLS
- 仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 -he simulation object is as follows: among them, v (k) to obe
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).
lmsandrls
- 最小二乘法和递归最小二乘法主要作用是用在误差估计自适应；具有收敛速度快效果好给初学的一帮忙-this is rls and lms algomlth
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
RLS-TD(lamda)
- Efficient reinforcement learning using recursive least-squares methods. Jounral of AI Research, 2002, 16, 259-292