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基于递推最小二乘法的m序列含白噪声参数识别和误差分析程序-The recursive least square method
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recursive least square (RLS) algorithm using matlab with examples
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recursive least square and least mean square
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加权递推最小二乘算法matlab仿真程序，用于系统辨识-Weighted recursive least square algorithm matlab simulation program, used for system identification
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Quadrature ampliltude modulation has high spectral efficiency but is highly sensitive to power amplifier
nonlinearities. It is shown that an adaptive predistorter usig polynomial amplitude and phase
predistortion functions can be used to lineariz
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It is one of the successful prediction algorithms to estimate frequently for unknown parameters with real time operation. The principle of Recursive Least Square depends on least square mathematical weighted. Also, Recursive Least Square can set the
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the linear ARX model as shown below [12] is used to represent the input and the output data for the system. This ARX model is utilized for both Least Square (LS) and Recursive Least Square (RLS) algorithms. It is one of the simplest statistical metho
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最小均方误差迭代算法和最小二乘算法的仿真程序。适用初学者-least mean square and recursive least square. appropriate for elementary learners.
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Recursive least square estimation
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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
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Recursive Least Square 算法用于预测浊音信号,并计算误差-Recursive Least Square algorithm for predicting voiced signal and calculate the error of estimation
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系统辨识与自适应控制递推最小二乘估计（RLS）及模型阶次辨识（F-Test）-System identification and adaptive recursive least square estimation (RLS) and model order identification (F-Test) for system identification and adaptive control
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该程序是回归最小二乘法辨识参数，输入为白噪声。-This is a recursive least square mathod to identify the parameters.
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这是一个遗忘因子递推最小二乘法的辨识程序，可辨识系统参数。-This is a forgotten factor recursive least square mathod to identify the system parameters.
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递推最小二乘法。可设计带遗忘因子的最小二乘法-Recursive least square method. Least squares method with forgetting factor
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Continuous to discrete conversion and non recursive least square method frequency response
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最小二乘法是系统辨识中最经典的方法，它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。其中，RLS是递推最小二乘法程序，ELS是增广递推最小二乘法的程序。-
System identification least squares method is the most classic method, which
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递推最小二乘法用matlab编码的形式的实现-The recursive least square method with matlab code in the form of implementation
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递推最小二乘法辨识参数 MATLAB例程(Recursive least square method to identify parameters)
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带遗忘因子的最小二层算法,可进行参数辨识，调节遗忘因子即可(recursive least square algorithm)
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