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简单介绍了RLS算法(递推最小二乘算法)，附带程序能够实现RLS的仿真，并且仿真效果较好。-A brief introduction of the RLS algorithm (recursive least squares algorithm), RLS can be achieved with the simulation program and simulation is better.
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基于四个移位寄存器的最小二乘递推算法辨识程序-Shift register based on the four identification procedures recursive least squares algorithm
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matlab 最小二乘线性回归 递推法 源码，解决线性回归中的病态方程问题-recursive least squares linear regression method matlab source code, solve the equation of linear regression of pathological problems
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A ROBUST FAST RECURSIVE LEAST SQUARES ADAPTIVE ALGORITHM
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Extended Kernel Recursive Least Squares
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多个辨识算法的GUI编程
包括最小二乘，递推最小二乘，牛顿参数，梯度矫正，极大似然法等。-GUI programming multiple recognition algorithms, including least squares, recursive least squares, Newton' s argument, the gradient correction, the maximum likelihood method.
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基于matlab 偏差补偿最小二乘的递推算法-Matlab error compensation based on the recursive least squares algorithm
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Recursive Least Squares (RLS) Adaptive algorithm used for system identification
RLS algorithm is one of two algorithms usually used for adaptive linear system identification.
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一种同时辨识单输入一单输出线性定常系统差分模型的阶次和参数的方法-Based on the MATLAB recursive least squares identification and simulation
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实现递推最小二乘，并给出辨识各次结果与收敛性-Recursive least squares implementation, and results are given recognition and convergence of various
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递推最小二乘法 系统辨识 参数辨识 matlab仿真-Recursive least squares method
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自适应控制中，用Matlab算法实现带遗忘因子递推最小二乘参数估计-Forgetting factor recursive least squares parameter estimation
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基于递归最小二乘算法的自适应数字波束形成器程序-Recursive least squares algorithm based on adaptive digital beamformer program
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递推最小二乘算法，源码，计算机练习，收敛性。-Recursive least squares algorithm, source code, computer training, convergence.
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系统辨识与自适应控制中----递推增广最小二乘参数估计算法-Augmented recursive least squares parameter estimation
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系统辨识与自适应控制---遗忘因子递推最小二乘参数估计-forgetting factor recursive least squares parameter estimation
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系统辨识与自适应控制---MIMO系统递推最小二乘参数估计（本程序针对2入2出系统）-System identification and adaptive control systems--- MIMO recursive least squares parameter estimation (the program for 2 into 2 systems)
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R3LS的matlab程序，最小二乘法的递推算法-R3LS the matlab program, recursive least squares algorithm
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递归最小均方误差中，权矢量随迭代次数收敛曲线-recursive least squares
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系统辨识中假定确定了对象的线性状态方程式，要求其系数。对象是时慢变系统，这时需要跟踪它的系数。这个场合使用递推最小二乘法很合适。本程序提供了一个试验例子。读者可根据需要自己更改代码。-System identification assume that the object to determine the linear equation of state, asking them to factor. When an object is a slowly varying system, then
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