搜索资源列表
RLS
- 递归最小二乘滤波器算法，包含对于单频正弦信号和实际语音信号的处理结果-Recursive least squares filter algorithm, that contains the single-frequency sinusoidal signal and the actual voice signal processing results
1
- 一般最小二乘及其递归算法的例子及matlab代码-Least squares examples and matlab code
junheng
- 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
RLS
- 基于递归最小二乘算法的自适应数字波束形成器程序-Recursive least squares algorithm based on adaptive digital beamformer program
RLS_Alt
- 用改进的Huber函数，修改了现有的递归最小二乘（RLS）算法的误差函数-With the improvement of Huber function, modified existing recursive least squares (RLS) algorithm of error function
FF-RLST
- 系统辨识中的递归最小二乘参数估计的matlab程序算法-System Identification of recursive least-squares parameter estimation algorithm matlab program
zishiyinglvbo
- 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,
system-identification-of-USTC
- 中国科大系统辨识实验源代码，所选辨识方法为最小二乘、递归最小二乘等-source code of USTC system identification experiment , including LSE、Recursive LSE and so on,
RLS_RBF
- 基于递归最小二乘的神经网络算法程序，基于matlab-A rls-rbf
RLS1
- 本程序为带遗忘因子的递归最小二乘的程序，在MATLAB下进行仿真。-This procedure with forgetting factor recursive least squares procedure, the MATLAB simulation.
RLS
- 递归最小二乘算法，用于系统参数辨识，对二阶系统进行辨识。-this is a program called RLS, which was used in the parameter identification of two order system.
RLS
- RLS算法 自适应算法中的RLS算法. 即是递归最小二乘算法-RLS algorithm in the adaptive algorithm of the RLS algorithm is the recursive least squares algorithm
rls_AR_pred
- 使用基本的递归最小二乘算法来预测实值AR过程信号-use basic RLS algorithm to predict real-valued AR process
Recursive-least-squares
- 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).
FIR_RLS
- 实现FIR型的递归最小二乘算法自适应滤波器，能够根据参数选择，程序稳定性好。-Realize the FIR adaptive filter recursive least squares algorithm, according to the parameter selection, a good program stability.
ELS_almda
- 利用矩阵最小二乘的辨识结果作为递归最小二乘的初值，进行系统辨识-Identification using matrix least squares RLS as a result of the initial value, system identification
LMS_RLS
- lms与rls算法比较,MATLAB 程序仿真，比较两种自适应滤波算法。最小均方(LMS)、递归最小二乘(RLS)(LMS and RLS algorithm comparison, MATLAB program simulation, comparison of two adaptive filtering algorithm. Least mean square (LMS) and recursive least squares (RLS))
递推最小二乘法实现及推广
- 最小二乘递归算法仿真及其推广应用，很好地实现了最小二乘法(Least square recursive algorithm simulation and its popularization and application, the least square method is well realized.)
LRSs
- 递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
RLS_Libattery
- 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.)