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递推最小二乘法和增广最小二乘法进行实时参数估计-Recursive least squares method and extended least squares method for real-time parameter estimation
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完整地编写了递推最小二乘和增广递推最小二乘算法m文件源代码，并附有详细的注释，便于读者学习和参考。-Complete preparation of the recursive least squares and augmented recursive least squares algorithm m document source code, along with detailed notes, to help readers learn and reference.
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The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This is in contrast to other algorithms such as the least mean
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matlab最小二乘法（LS）与递推最小二乘法（RLS）程序-matlab least squares (LS) and recursive least squares (RLS)
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系统辨识 基于ARX模型的RLS1（递推最小二乘 常）系数估计-System identification based RLS1 ARX model (recursive least squares constant) coefficient estimates
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SDOF最小二乘法SDOF采用递归最小二乘法实现参数m、k、c识别-SDOF recursive least squares method to achieve parameter m, k, c recognition
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RECURSIVE LEAST SQUARES METHOD
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递推最小二乘算法能随着观测数据的更新逐次的估计出模型参数值，用新引入的数据对上一次估计的结果进行修正，从而递推地估计出下一个参数估计值。-The recursive least squares algorithm with successive estimation update observation data the model parameter values of an estimate of the results is modified by the introduction of
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本文提出了一种时变参数多项式扩展递推最小二乘法（PRLS）-This paper proposes a time-varying parameter polynomial extension recursive least squares (PRLS)
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核方法工具箱，包括核典型相关分析KCCA，KPLS等算法的源码和实现。-Kernel Methods Toolbox
KMBOX includes implementations of algorithms such as kernel principal component analysis (KPCA), kernel canonical correlation analysis (KCCA) and kernel recursive least-squares (KRLS).
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遗忘因子递推最小二乘法估算系统模型参数-Forgetting Factor Recursive Least-squares
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最小二乘的递推算法示例程序,可以直接运行，带有注释-Recursive least squares algorithm sample program, can be run directly with comments
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可对低阶SIMULINK模型进行递推最小二乘系统辨识，例程可以直接运行-SIMULINK model can lower order recursive least squares system identification, the routine can be run directly
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本程序是基于递推最小二乘算法的volterra级数辨识-This procedure is based on the recursive least squares algorithm on the series
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最小二乘的递推算法，代码中有算例，可根据需要自行修改-Recursive least squares algorithm, the code has an example, can modify according to their needs
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实现最小二乘法的递推运算，系统辨识里用的到-Implement recursive least squares method calculation system used to identify where
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MIMO系统递推最小二乘参数估计，应用于系统辨识相关问题-MIMO system recursive least squares parameter estimation, system identification applied to issues related to
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基于RLS算法的数据预测与MATLAB实现——
递归最小二乘（RLS)算法是一种典型的数据处理方法，递归最小二乘（RLS)算法在信号自适应滤波分析中广泛应用，递归最小二乘（RLS)算法收敛速度快，且对自相关矩阵特征值的分散性不敏感，然而其计算量较大。-RLS algorithm based on forecast data and MATLAB realization Recursive Least Squares (RLS) algorithm is a typical method
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For the parameter identification of nonlinear second order system, using matlab based on the recursive least squares algorithm
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递归最小二乘法，采用matlab语言编写，封装良好，便于使用-Recursive least squares method, using matlab language, packaged good, easy to use
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