搜索资源列表
selftuning
- 具有遗忘因子的最小二乘算法实现的一个案例，包含了仿真模型及M文件，且M文件配有详细的注释，通俗易懂。-Least squares algorithm with forgetting factor to achieve a case, including the simulation model and the M file, and the M file with detailed notes, easy to understand.
RLS_Algo
- 功能描述：用matlab语言实现RLS自适应算法 函数名：RLS_Algo 输入参数： (1)M:滤波器的阶数 (2)N:LMS算法迭代的次数 (3)lamda:遗忘因子 (4)xn:LMS算法的输入序列 输出参数： (1)系数矢量A 调用函数：无 被调用： 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 -Function Descr
prom_3
- 最小方差调节器和最小方差自校正调节器。 设计最小方差调节器和最小方差自校正调节器，实现闭环仿真控制，了解这两种调节器的性质，特别是某些参数(如遗忘因子)的影响-Minimum variance regulator and the minimum variance self-tuning regulator. Design of minimum variance and minimum variance regulator self-tuning regulator to achieve cl
LMS
- 一种改进的LMS算法及其在噪声对消中的应用。在分析传统定步长LMS算法和变步长LMS算法的基础上，提出了一种改进的变步长LMS算法。新算法利用瞬时误差绝对值三次方的指数形式和遗忘因子同时调整步长，更好的解决了收敛速度和稳态误差的矛盾-An improved LMS algorithm and its application in noise cancellation. In the analysis of the traditional fixed step and variable step
EFRLS_w
- kalman filter with Forgetting factor RLS algorithm
RFF
- 基于matlab的遗忘因子最小二乘递推算法辨识程序-Matlab-based forgetting factor RLS identification procedures
Forgetting-factor
- 自适应控制中，用Matlab算法实现带遗忘因子递推最小二乘参数估计-Forgetting factor recursive least squares parameter estimation
FFRLS
- 系统辨识与自适应控制---遗忘因子递推最小二乘参数估计-forgetting factor recursive least squares parameter estimation
SISO-index-Harris-
- SISO控制系统性能评价harris指标m文件+mdl文件，其中运用遗忘因子算法对线性回归算法（LR）进行改进(ILR)。希望对大家有所帮助-SISO control system performance evaluation index m harris file+ mdl files, which use forgetting factor algorithm for the linear regression algorithm (LR) to improve (ILR). We want
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
- 本程序基于一阶AR模型，u(n)=-0.99u(n-1)+v(n)的线性预测。白噪声v(n)方差0.995.FIR滤波器的抽头数为2.遗忘因子0.98.用RLS算法实现u(n)的线性预测。并附有仿真图片-This procedure is based on a first-order AR model, u (n) =-0.99u (n-1)+v (n) of the linear prediction. White noise v (n) the number of taps of the t
adaptiveembrance
- 根据lamda遗忘因子来确定均方误差的变化趋势，和alpha的变化，仿真效果好，达到理想的效果。-Lamda forgetting factor to determine the mean square error trends, changes and alpha, simulation results, achieve the desired results.
yiwangyizi
- 有遗忘因子的最小二乘，递推最小二乘的缺点是常常出现数据饱和，新加入的数据对参数向量的更新作用不大，加如遗忘因子可很好的解决这一问题-Forgetting factor least squares, recursive least squares drawback is often saturated data, new data on the update of the parameter vector, such as the forgotten factor can be a good so
zuixiaoercheng_bati
- 采用遗忘因子的最小二乘方法对时间序列方法进行校正-Least squares method with forgetting factor correction method of time series
zuixiaofangchazijiaozheng
- 最小方差自校正调节器matlab程序。运用最小二乘法，可设定遗忘因子。-Minimum variance self-tuning regulator matlab program. Least square method, you can set a forgetting factor.
RLS_wFF
- recursive least squares (RLS) with forgetting factor
yiwangyinzizuixiaoercheng
- Forgetting factor least squares method
RLS
- 递推最小二乘法。可设计带遗忘因子的最小二乘法-Recursive least square method. Least squares method with forgetting factor
RLS
- 基本最小二乘法、加权最小二乘法（包括一次完成、递推算法）、最小二乘适应算法（包括遗忘因子法、限定记忆法）以及进行偏差补偿的最小二乘法，有详细的文档说明，程序注释也很详尽-The basic method of least squares, weighted least squares method (including a complete, recursive algorithm), least squares adaptation algorithm (including forgettin
ILRprogram
- 带遗忘因子的线性回归算法程序，适用于时变特性的数据-Data with forgetting factor linear regression algorithm procedures applicable to the time-varying characteristics