搜索资源列表
广义最小二乘法
- 广义最小二乘法也是为了改善噪声e(k)为有色噪声时，采用最小二乘和加权最小二乘辨识系统参数为有偏估计的问题。其基本思想是：引入一个所谓白化滤波器，把相关噪声e(k)转化为白噪声v(k)，从而达到应用最小二乘法无偏估计的目的。
Weighted-least-squares
- 加权最小二乘法的原理 应用及其运算方式方法-Applying the principle of weighted least squares method and the ways and means of operation
sysideks
- 基于加权最小二乘辨识的自适应极点配置算法-adaptive control based on system identification & pole-placement
bujiaquanzuixiaoercheng
- 不加权最小二乘算法。用于系统辨识学习之用。-non-weighted least square method
Weighted-least-squares
- 浅谈加权最小二乘法及其残差图及其详细的讨论-On the weighted least squares method and the residual map and detailed discussions
Simulation1
- 无线传感器网络，定位，最小二乘法，加权最小二乘法-Weighted least squares
galerkin8_5_1
- Galerkin方法,这是一种真正的无网格方法.这种方法采用移动最小二乘函数采近似解变量,并且采用移动最小二乘近似函数的权函数作为加权残值法的权函数.文中对形成的离散动力学方程用Newmark方法求解-Galerkin method, this is a real meshless method. This method adopts moving least squares in function approximation solution variables, and adopts mov
WLS_MV
- 加权最小二乘迭代求解多参数估值。用于求解平差问题及其他领域优化问题。-The weighted least-squares iterative solution of multi-parameter estimates. Adjustment for solving optimization problems and other problem areas.
WLSSVM
- 能实现简单的加权最小二乘支持向量机算法，是个例子-To achieve a simple weighted least squares support vector machine algorithm, is an example
wls
- 实现加权最小二乘拟合，经典的系统辨识方法，很管用-Achieve a weighted least-squares fitting, classical system identification methods, it is useful
jiaquanditui
- 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
The-least-squares-estimate
- 1线性最小二乘估计 2线性最小二乘加权估计 3线性最小二乘递推估计 4单参量的线性最小二乘估计 -The least squares estimate
WTLS_fitting
- 基于加权整体最小二乘迭代算法，利用井壁同一截面特征点坐标序列，拟合煤矿井筒圆心的坐标序列和半径，监测竖井变形情况-Overall weighted least-squares iterative algorithm, using the same sequence of the wall section feature point coordinates, the coordinates of the center of mine shaft fitting sequence and radiu
shiyanmotaicanshudepinyushibie
- 试验模态参数的频域识别包括：导纳圆法模态参数识别，最小二乘模态参数识别，加权最小二乘法模态参数识别-Frequency domain identification of experimental modal parameters including: admittance method for modal parameter identification, modal parameter identification of least squares, weighted least square
RWLS
- 加权最小二乘一次完成法 系统辨识 实际传递函数为(4s+6)/(s^3+1.5s^2+4.5s+2)-WLS，System Identification
WLS
- 加权最小二乘一次完成法 系统辨识 实际传递函数为(4s+6)/(s^3+1.5s^2+4.5s+2)-System Identification.（WLS）
IRLS
- 迭代重加权最小二乘算法，程序可以直接运行，并且给出了实例-Iterative reweighted least squares algorithm, the program can be run directly, and gives examples
wltsvm
- 加权最小二乘双支持向量机算法应用实例，作为学习双支持向量机的例子应用-Weighted least squares double support vector machine
少发故障的寿命分布拟合
- 首先是针对无或单失效数据情形下，通过多层贝叶斯估计法得到失效概率过后，给出了寿命分布参数的加权最小二乘估计。然后如果失效数据不止一个，使用乘积限估计法来得到失效概率的估计值。(Firstly, the weighted least squares estimation of the life distribution parameters is given by the multi-layer Bayesian estimation method after the failure probab
chap2
- 系统辨识最小二乘法辨识系统参数，递推最小二乘，加权最小二乘(system identification)