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用改进的Huber函数，修改了现有的递归最小二乘（RLS）算法的误差函数-With the improvement of Huber function, modified existing recursive least squares (RLS) algorithm of error function
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Recursive Least Squares.
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递推最小二乘程序，是进行系统辨识很好的程序-Recursive least-squares procedure, is a good program for system identification
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系统辨识中的递归最小二乘参数估计的matlab程序算法-System Identification of recursive least-squares parameter estimation algorithm matlab program
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递推最小二乘法(RLS)及基于F-Test的模型阶次辨识，也是系统识别课上的实验。本文件包括matlab源代码以及实验报告，适合学生~-Recursive least squares (RLS) and based on F-Test of the model order identification. This document includes matlab source code and test reports for students ~
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利用遗忘因子递推最小二乘法做的参数估计，介绍还算详尽-Forgetting factor recursive least squares method using the parameter estimates do
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用Vb实现的递推最小二乘法估计参数，有可视界面-Vb to achieve with the estimated parameters of recursive least squares method, a visual interface
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增广最小二乘递推算法的例程，下载的rar解压后是word文档，里面包括题目要求、程序流程框图、源代码、详细注释、仿真结果等。-Recursive least squares algorithm, including subject requirements, program flow diagram, source code, detailed notes, simulation results，and so on.
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系统辨识经典辨识方法，其中包括levy法，差分法，Hankel矩阵法；系统辨识的最小二乘方法，其中包括最小二乘一次算法，最小二乘递推算法-System identification classical identification methods, including the levy method, differential method, Hankel matrix system identification of the least squares method, including a
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系统辨识与自适应控制 带滤波的最小二乘递推算法-system identification. Flitering based recursive least squares algorithm
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递推最小二乘法和递推阻尼最小二乘法仿真，系统模型如下：
y(t) - 1.6 * y(t - 1) + 0.7 *y (t - 2) = u(t - 1) + 5.5 * u(t – 2) + e(t)，试用递推最小二乘法和递推阻尼最小二乘法进行参数识别，并进行比较
-Damped recursive least squares method and recursive least squares method simulation, the system model is as fol
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系统鄙视程序，包括增广最小二乘法、递推最小二乘法等-System contempt procedures, including augmented least squares method, recursive least squares method, etc.
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matlab实现：①递推增广最小二乘参数估计（RELS）②确定性系统的递推梯度校正参数估计（RGC）③递推最小二乘参数估计（RLS）④递推极大似然参数估计（RML）⑤递推随机牛顿参数估计（RSNA）-Matlab: (1) augmented recursive least square parameters estimation (RELS) (2) of a deterministic system recursive gradient correction parameter estima
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数学建模定阶程序，最小二乘，递推最小二乘，增广矩阵法，信噪比的程序-Mathematical modeling of order determination procedure, least squares, recursive least squares, the augmented matrix method, the program signal to noise ratio
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Recursive Least-Squares (RLS) Adaptive Filters
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贝叶斯估计，最小二乘法，递推最小二乘法，梯度校正法，增广最小二乘法进行系统辨识-Bayesian estimation, least squares, recursive least squares method, the gradient correction method, the augmented least squares method for system identification
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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
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本程序用于普通递推最小二乘算法在MATLAB下的仿真，为C程序。-This procedure is for the ordinary recursive least squares algorithm in MATLAB simulation, the C program.
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本程序为带遗忘因子的递归最小二乘的程序，在MATLAB下进行仿真。-This procedure with forgetting factor recursive least squares procedure, the MATLAB simulation.
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一般最小二乘、递推最小二乘、增广最小二乘用于有色噪声干扰的系统辨识，及辨识结果对比。-General least squares, recursive least squares, extended least squares for the colored noise system identification, and the comparison of recognition results.
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