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sanweibianyihanshudenihe
- 介绍了一种实用的空间任意方向三维变异函数的计算方法以及空间各向异性几何套合算法，给出了一种以加权最小二乘为基础的半自动实验变异函数曲线拟合方法。
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。
WLS_MM.rar
- 加权最小二乘法&最大最小化优化算法 weighted least-squares + weighted min-max optimization ,Weighted least square method
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
least_squares_phase_unwrapping_algorithm
- 详细讨论了INSAR技术中相位解缠最小二乘方法的算法实现；并提出改进的加权最小二乘算法的实现思路-INSAR techniques are discussed in detail in the method of least squares phase unwrapping algorithm and suggestions for improvement of the weighted least squares algorithm implementation ideas
stateestimation
- 状态估计优秀硕士论文，提出了一种基于分块雅可比矩阵的加权最小二乘估计算法；提出了潮流岛状态变量的概念，用潮流岛的状态变量代替岛内所有节点的状态变量-State estimation for outstanding master
wtls
- 加权总体最小二乘matlab工具箱，包含各种总体最小二乘算法的源代码-weighted total least squares toolbox
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
d9000mpi3
- 对互谱法被动测距的原理及算法各个环节进行仿真验证：加权最小二乘估计中权系数的选取；相关窗长度的选取；各频段综合方法等等。最后实现了对9000m—15000m距离的测距-Cross-spectral method for passive ranging all aspects of theory and algorithms for simulation: weighted least squares estimation of the right of the selection coeffic
WLSF
- 基于加权最小二乘的探测器状态估计，可实现快速估计和收敛-Weighted LM based probe states estimation, with high speed and rapid convergence.
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
Optimally-weighted
- 最优加权最小二乘估计与线性无偏最小方差估计性能比较-Optimally weighted least squares and linear unbiased minimum variance estimation performance comparison
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
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）
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