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递推格式的最小二乘法参数辨识算法matlab语言设计与实现,Recursive least squares format parameter identification algorithm matlab language design and implementation
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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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盲自适应算法--递推最小二乘恒模算法Recursive Least Squares Constant Modulus Algorithm for Blind Adaptive Array-Recursive Least Squares Constant Modulus Algorithm for Blind Adaptive Array2004
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System identification with adaptive filter using full and partial-update Recursive-Least-Squares
-System identification with adaptive filter using full and partial-update Recursive-Least-Squares
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在matlab/simulink下用S-function实现了用递推最小二乘法的系统在线辨识，对象是开关磁阻电动机，在转矩和转速可测的前提下，得出转动惯量，摩擦系数和负载转矩的在线辨识。-In the matlab/simulink using S-function realization of the recursive least squares method using the system online identification, the target is switched rel
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RLS identification algorithm.
RLS is used to identify a discrete time model of a plant operating in open-loop based on the recursive least squares method and the UD factorization for updating the adaption gain matrix (F).-RLS identification algori
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均衡技术是克服码间干扰(Inter-Symbol Interference,ISI)的有效措施,由于信道特性的随机性与时变性,实际中消除码间干扰最常用的是自适应均衡器。本文对基于最小均方(Least Mean Squares,LMS)算法和递推最小二乘(Recursive Least Squares,RLS)算法的自适应均衡器进行仿真研究,分析了信道特性与设计参数对自适应均衡器的收敛速度与稳态性能的影响。
-Equalization technique is to overcome inte
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Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI probl
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项目采用matlab对强迫零均衡器、最小均方误差均衡器、自适应线性均衡器进行了编程实现，并给出了计算机的仿真结果以及对仿真结果的分析，最后，给出递归最小二乘准则下的均衡器仿真予以比较。-Forced to zero on the project using matlab equalizer, minimum mean square error equalizer, adaptive linear equalizer is programmed to achieve, and gives the
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在自适应控制中，用Matlab算法实现递推最小二乘参数估计-In adaptive control, recursive least squares algorithm using Matlab parameter estimation
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增广递推最小二乘参数辨识matlab程序-Augmented recursive least squares parameter identification procedure
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递推最小二乘的老师给的很好的matlab程序-Recursive least squares parameter identification procedures
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递归核最小二乘算法，来至MIT大学的wingate教授，含6个源码，有实例！-dict_init.m- Part of the dictionary implementation used by KRLS algorithm. Can stand alone.
dict.m- Part of the dictionary implementation used by the KRLS algorithm. Can stand alone.
krls_init.m- Kernel re
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最小二乘法，递推最小二乘法，基本最小二乘法，帮助同学学习最小二乘法。-The method of least squares, recursive least squares method, the basic method of least squares, to help students learn the method of least squares.
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辨识算法分别用一次最小二乘算法和递推最小二乘算法对被控对象进行辨识。最小二乘法是一种数学优化技术。-Identification algorithm using a least squares algorithm, respectively, and the recursive least squares algorithm to identify the controlled object. Method of least squares is a mathematical optimizat
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最小二乘法是一种数学优化技术。辨识算法分别用一次最小二乘算法和递推最小二乘算法对被控对象进行辨识。-Method of least squares is a mathematical optimization techniques. Identification algorithm using a least squares algorithm, respectively, and the recursive least squares algorithm to identify the con
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递归最小二乘算法，来至MIT大学的wingate教授，含3个源码-rls.m- Basic recursive least squares.
qr_rls.m- Square-root version of RLS using a QR decomposition.
bqr_rls.m- Block square-root version of RLS using a QR decomposition (you can add multiple rows at a time).
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本案例利用递推最小二乘程序对系统进行系统便是处理-In this case the use of recursive least squares procedure of the system is processing system
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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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对于单输入单输出的系统（Single input single output，SISO）常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法，概念简明，适应范围广，来源于数理统计的回归分析，它能提供一个在最小方差意义上与实验数据最好拟合的模型，在一些情况下，可得到与极大似然法一样好的统计效果，并能很方便地与其它辨识算法建立关系。在一定条件下，最小二乘法参数估计法有最佳的统计特性，即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数，
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