Description: 自适应滤波器的核心是自适应算法。最小均方算法(LMS) 和递归最小二次方算法RLS) 。通过对这两种算法的推导过程,可以清楚的了解到自适应算法的理论体系,-Adaptive filter is the core of adaptive algorithm. Least mean square algorithm (LMS) and recursive least quadratic algorithm RLS). Through the derivation of these two algorithms, adaptive algorithms can clearly understand the theoretical system,
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Size: 3072 |
Author:王柯澜 |
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Description: This paper compares performance of nite impulse
response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation results, in terms of steady-state
mean-square estimation error (MSE) and average bit-error rate (BER) metrics, are found for the frequency selective Rayleigh fading wireless channel experienced in a mobile ad hoc network where nodes are lognormally shadowed from each other. For the nonstationary channel models considered, RLS is always found to outperform LMS. Platform: |
Size: 844800 |
Author:almoudamer3 |
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Description: this simulation does the steepest descent algorithm, least nean square and the recursive least squares estimation of the parameters of a system Platform: |
Size: 1024 |
Author:Funmilayo |
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Description: 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 Platform: |
Size: 2048 |
Author:Zhou Lee |
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Description: 这是一个遗忘因子递推最小二乘法的辨识程序，可辨识系统参数。-This is a forgotten factor recursive least square mathod to identify the system parameters. Platform: |
Size: 1024 |
Author:seecloudy |
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Description: 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 squares (LMS) that aim to reduce the mean square error. In the derivation of the RLS, the input signals are considered deterministic, while for the LMS and similar algorithm they are considered stochastic. Compared to most of its competitors, the RLS exhibits extremely fast convergence. However, this benefit comes at the cost of high computational complexity. Platform: |
Size: 9216 |
Author:rajendra |
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Description: Continuous to discrete conversion and non recursive least square method frequency response Platform: |
Size: 1024 |
Author:Ali Imran |
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Description: 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 matches the data by squaring and finding the best to minimize the error function. Least squares method can be easily calculated unknown data, and make the square error between the actual data and the data obtained and the minimum. Least squares method can be used for curve fitting. Some other optimization problems can be expressed using the method of least squares by minimizing energy or maximizing entropy. Wherein, RLS is a recursive least squares program, ELS is augmented recursive least squares method procedures. Platform: |
Size: 2048 |
Author:原文宾 |
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Description: 递推最小二乘法用matlab编码的形式的实现-The recursive least square method with matlab code in the form of implementation Platform: |
Size: 11264 |
Author:董潭 |
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Description: 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) Platform: |
Size: 12288 |
Author:btty
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Description: 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，采用高斯噪声作为系统的噪声。(For Single input Single output (SISO), the least squares method is used to identify the parameters of the system.
Least squares parameter estimation is a classic method, concept is concise, wide adaptation, derived from the regression analysis of mathematical statistics, it can provide a minimum variance sense the best fitting model with the experimental data, in some cases, the statistics can be obtained with the maximum likelihood method is as good effect, and can easily establish relations with other identification algorithm.
Under certain conditions, the least square parameter estimation method has the best statistical properties, namely consistent, unbiased and effective results.
This code mainly USES the method of recursive least squares identification method and the augmented least squares identification method to identify the model parameters, using gaussian noise as the noise of the system.) Platform: |
Size: 1024 |
Author:M.R.J.
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Description: simulink的递推最小二乘法用s文件编译的(The recursive least square method of Simulink is compiled with s file) Platform: |
Size: 20480 |
Author:sky123123
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Description: 最小二乘系统辨识，以及递推最小二乘辨识，增广最小二乘的实际应用。(The least square system identification, and the recursive least square identification, the application of the augmented least square.) Platform: |
Size: 4096 |
Author:靓宝一一 |
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Description: 最小二乘法锂电池模拟，带遗忘因子的递推最小二乘法模拟。(The least squares method is used to simulate lithium battery and recursive least square method with forgetting factor.) Platform: |
Size: 2048 |
Author:祈之羽 |
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Description: 在电机参数随着系统运行变化时，通过递推最小二乘法在线参数辨识获得实时更新的电气参数，减小系统运行的误差(When the motor parameters change with the system operation, the real-time updated electrical parameters are obtained by the recursive least square method on-line parameter identification, and the error of the system operation is reduced.) Platform: |
Size: 8192 |
Author:123快乐点 |
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Description: 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.) Platform: |
Size: 261120 |
Author:木小花 |
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