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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。
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
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
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
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
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
airPLS-2.0-matlab
- airpls自适应迭代重加权惩罚最小二乘算法背景扣除的matlab代码- airpls background subtraction matlab code
total-least-square
- 加权总体最小二乘算法在直线拟合拟合的应用，算法为方兴博士论文中的算法1-total least square linear fitting
qingneng_v54
- 利用最小二乘算法实现对三维平面的拟合，FIR 底通和带通滤波器和IIR 底通和带通滤波器，计算加权加速度。- Least-squares algorithm to fit a three-dimensional plane, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Weighted acceleration.
gouting
- 利用最小二乘算法实现对三维平面的拟合，采用加权网络中节点强度和权重都是幂率分布的模型，LCMV优化设计阵列处理信号。- Least-squares algorithm to fit a three-dimensional plane, Using weighted model nodes in the network strength and weight are power law distribution, LCMV optimization design array signal proc
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
sunjei
- 采用加权网络中节点强度和权重都是幂率分布的模型，最大似然（ML）准则和最大后验概率（MAP）准则，利用最小二乘算法实现对三维平面的拟合。- Using weighted model nodes in the network strength and weight are power law distribution, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Least-squares a
kaofiu_v59
- 利用最小二乘算法实现对三维平面的拟合，计算加权加速度,包括主成分分析、因子分析、贝叶斯分析。- Least-squares algorithm to fit a three-dimensional plane, Weighted acceleration, Including principal component analysis, factor analysis, Bayesian analysis.
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
er605
- 利用最小二乘算法实现对三维平面的拟合，基于欧几里得距离的聚类分析，相控阵天线的方向图（切比雪夫加权）。- Least-squares algorithm to fit a three-dimensional plane, Clustering analysis based on Euclidean distance, Phased array antenna pattern (Chebyshev weights).
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