搜索资源列表
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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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多部预测自校正控制的算法仿真程序，用matlab写的。用的RLS带遗忘的最小二乘法递推。-Forecast for more than self-tuning control algorithm simulation program, written using matlab. Used in the RLS with forgetting recursive least square method.
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自适应信号处理，RLS递归最小二次方算法-Adaptive signal processing, RLS recursive least square algorithm twice
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模拟实际环境下的递归最小二次方算法（RLS）多信号，多干扰。-Simulate the actual environment, the second recursive least square algorithm (RLS) multi-signal, multi-interference
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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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recursive least square algorithm
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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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Recursive least square algorithm
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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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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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recursive least square (RLS) algorithm using matlab with examples
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this simulation does the steepest descent algorithm, least nean square and the recursive least squares estimation of the parameters of a system
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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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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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最小二乘一次完成算法和最小二乘递推算法，希望有所帮助-The least square one time algorithm and the least square recursive algorithm, hope to help
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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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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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递推最小二乘拟合算法 用于实时拟合时间序列ARMA模型参数 例如 陀螺仪随机噪声 股票 交通等模型的参数拟合(Recursive least square fitting algorithm is used to fit the parameters of time series ARMA model, such as gyroscope, random noise, stock traffic and so on)
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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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基于递归最小二乘算法在线辨识锂离子电池一阶模型参数。(The first order model parameters of lithium ion battery are identified online based on recursive least square algorithm.)
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