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系统辨识的最小二乘递推算法、辅助变量法、增广最小二乘法及偏差补偿法的matlab程序设计实例。,Recursive least squares system identification algorithm, auxiliary variables, the least square method and the augmented error compensation law matlab programming examples.
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很好用，用matlab编的偏最小二乘法，直接在matlab里就可以用。另外带有PLS讲解-Good use, with the partial least squares matlab compiled directly in matlab can be used inside. In addition to explain with PLS
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一种最小二乘法的RBF神经网络，用于对复杂系统的辨识研究-A least squares method of RBF neural network for identification of complex systems research
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目标跟踪中的全局最小二乘算法，通过做多次蒙德卡诺试验获得其二阶距性能估计-Target tracking in the overall least-squares algorithm, through so many tests蒙德卡诺performance from its second-order estimates
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采用CG法求解稀疏不对称的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems:
Solve Ax = b
or minimize || Ax- b ||2
or minimize || Ax- b ||2+ d2 ||x||2.
The matrix A may be squ
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系统辨识二阶递推最小二乘算法实现。对数据进行了归一化的预处理，并且对原始数据进行一次采样-Second-order recursive least squares system identification algorithm
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【1】随机序列产生程序
【2】白噪声产生程序
【3】M序列产生程序
【4】二阶系统一次性完成最小二乘辨识程序
【5】实际压力系统的最小二乘辨识程序
【6】递推的最小二乘辨识程序
【7】增广的最小二乘辨识程序
【8】梯度校正的最小二乘辨识程序
【9】递推的极大似然辨识程序
【10】Bayes辨识程序
【11】改进的神经网络MBP算法对噪声系统辨识程序
【12】多维非线性函数辨识程序的Matlab程序
【13】模糊神经网络解耦M
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采用白噪声作为输入信号，用递推最小二乘法来进行系统辨识-Using white noise as input signal, using recursive least squares method for system identification
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LMS: Least mean squares (LMS) algorithms is a type of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual
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基于kalman滤波的最小二乘法的matlab程序，仅供参考-Kalman filter based on least squares matlab program for reference only
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系统辨识，最小二乘法matlab仿真程序，非常实用-System identification, least squares matlab simulation program, very useful
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混合定位最小二乘定位算法MATLAB源码 -Hybrid positioning least squares location algorithm MATLAB source
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偏最小二乘法的Matlab源码,GreenSim团队免费提供您使用-Partial Least Squares Matlab source code, GreenSim team is provided free of charge
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各种最小二乘法理论、公式及算法算例和matlab程序-The theory of least squares method, formulas and algorithms example matlab program
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用matlab实现正交多项式最小二乘法的拟合问题-Using matlab to achieve orthogonal polynomial least squares fitting problem
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利用matlab进行最小二乘法消除多项式趋势项-Using matlab least squares polynomial trend to eliminate items
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基于最优化方法的最小二乘非线性matlab算法非常有效的-Optimization method based on nonlinear least squares algorithm is very effective matlab
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test2:
一、 基本最小二乘法一次算法
二、 基本最小二乘法递推算法
三、 最小二乘遗忘因子一次完成算法
四、 最小二乘遗忘因子递推算法
五、 最小二乘限定记忆算法
六、 最小二乘偏差补偿算法
七、 增广最小二乘算法
八、 广义最小二乘算法
test3:
一、 辅助变量自适应滤波算法
二、 辅助变量纯滞后算法
三、 辅助变量Tally原理算法
四、 多级最小二乘算法
五、 各类改进最小二乘算法的特点
test4:
1、 第二类随
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matlab最小二乘法代码。1~4分别是一次算法、地推算法、增广最小二乘和辅助变量。-east squares method matlab code. 1 to 4 are the first algorithm to calculate method of least squares and augmented auxiliary variables.
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The following Matlab project contains the source code and Matlab examples used for orthogonal least squares algorithms for sparse signal reconstruction. Added after previous version ols_gp: Sparse reconstruction by Orthogonal Least Squares followed b
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