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Rls递推二乘最小算法的MAtlab 仿真。-Rls recursive least square algorithm MAtlab simulation.
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递推最小二乘算法,用matlab实现递推最小二乘参数辨识-recursive least square
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recursive least square
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Recursive least square in matlab
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recursive least square and more
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使用matalb软件,利用递推阻尼最小二乘法进行参数辨识,并改变噪声的强度,即 a*ξ(t)(0<a<1),分析、比较一般递推最小二乘和递推阻尼最小二乘方法的优缺点 ;-Use matalb software, the use of recursive damped least square method for parameter identification, and change the intensity of noise, that is a* ξ (t) (0 <a
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This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature
amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension
of the equal
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recursive least square algorithm
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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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产生一个随机信号和两个不同频率但频率间隔很小的正弦信号,要求对两信号之和进行如下分析:
(1) 求该随机信号的自相关性系数、自相关函数,画出对应的图形;
(2) 利用不同的参数建模方法求出两个随机信号的功率谱;
(3) 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型,包括AR模型、MA模型和ARMA模型的的参数,阶次自定;并与Matlab工具箱里的一些建模函数的运算结果进行比较;
(4) 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计;
(5) 利
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MIMO系统递推最小二乘参数估计(本程序针对2入2出系统)
在实际通信系统仿真过程中非常有用-The multiple-input multiple-output (MIMO) system recursive least square parameters estimation (the program into a system for 2 2)
In the actual communication system simulation process is very useful
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Takagi-Sugeno Fuzzy System by Recursive Least Square online method-Takagi-Sugeno Fuzzy System by Recursive Least Square online method
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摘要:分析了最小均方误差滤波和递归最小二乘滤波算法、自适应滤波的神经网络方法、
基于QR分解的方法、统一模型下的自适应滤波及基于高阶累积量的自适应算法的优缺点,并对自适应滤波算法的未来发展做了展望。
-the author analyzes the minimum mean square error filter and recursive least square filter algorithm, an adaptive filter neural network method,
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用递推最小二乘法进行系统辨识,包括simulink环境下搭建模型以及源代码-recursive least square (RLS)source code
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递推最小二乘参数估计,即递推最小二乘法参数估计算法-Recursive least squares parameter estimation, the recursive least square parameter estimation algorithm
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linear and recursive least mean square
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recursive least square
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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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Noisy signal filtration using a least square, recursive least adaptive filter algorithm
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