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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.
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
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
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