搜索资源列表
cal_line
- 可以用来拟合任意阶的曲线，属于非加权最小二乘法-can be used to fit the curve of arbitrary order, belonging to the non-weighted least squares method
WeightedLeastSquare
- weighted least square line extraction with original sensor data
firls
- matlab fir LPF least square error with zeroa weighted
Weighted-Linear
- 加权最小二乘，VC源代码，有详细注解，Weighted-least-squares-Weighted-least-squares C++ code
603Grid
- VB源代码下载，VB生成Grid等值线程序，源码内包括有多个等值线测试数据，并包含多种网格化方法：三角平面插值法、双二次三角曲面光滑插值、双三次三角曲面光滑插值、按距离平方反比加权插件、按方位取点加权插值、趋势面拟合、加权最小二乘曲面拟合等。如果载入的测试数据已经是网格化数据，则程序会给出判断并提示无需网格化-VB source code download, VB Grid contour generation process, the source includes a plurality o
RLS
- It is one of the successful prediction algorithms to estimate frequently for unknown parameters with real time operation. The principle of Recursive Least Square depends on least square mathematical weighted. Also, Recursive Least Square can set the
CoGPS
- 包含各种GPS网平差：自由网平差、最小二乘平差、拟稳平差、已知点加权平差、已知点加权相关平差-Contains a variety of GPS network adjustment: free network adjustment, least squares adjustment, to be stable adjustment, known point weighting adjustment, known point weighted correlation Adjustment
rpls_ver1.0
- Recursive weighted Partial least Squares for variable selection
feifen_v75
- 车牌识别定位程序的部分功能，计算加权加速度,包括最小二乘法、SVM、神经网络、1_k近邻法。- Part of the license plate recognition locator feature, Weighted acceleration, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
suikun
- 采用偏最小二乘法，Relief计算分类权重，采用加权网络中节点强度和权重都是幂率分布的模型。- Partial least squares method, Relief computing classification weight, Using weighted model nodes in the network strength and weight are power law distribution.
kunling
- 用谱方法计算流体力学一些流动现象的整体稳定性,采用加权网络中节点强度和权重都是幂率分布的模型，最小二乘回归分析算法。- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Using weighted model nodes in the network strength and weight are power law distribu
jenggeng
- 采用加权网络中节点强度和权重都是幂率分布的模型，主同步信号PSS在时域上的相关仿真，采用偏最小二乘法。- Using weighted model nodes in the network strength and weight are power law distribution, PSS primary synchronization signal in the time domain simulation related, Partial least squares method.
2WLS-TDOA-Source-Location
- 基于两步加权最小二乘的多站时差辐射源定位算法-Two-stage weighted least squares source location
zuixiaoerchengyichuansuanfa
- 基本最小二乘和加权最小二乘算法程序（包括一次完成算法和递推算法）-Basic least squares and weighted least squares algorithm (including one-time completion algorithm and recursive algorithm)
F-TLS
- 频域加权最小二乘拟合，加速度计动态模型参数辨识(Frequency domain weighted least square fitting)
DVHop
- 针对基于双曲线定位的DV-Hop算法中误差项的异方差性引起的定位误差大的问题，提出了一种基于加权双曲线定位的DV-Hop改进算法。算法分析了基于双曲线定位的DV-Hop算法模型中误差项的异方差性，用加权最小二乘法对异方差性进行纠正，对加权最小二乘法中的权值矩阵进行了推导并得到与跳数相关的最佳权值矩阵，使得误差项满足同方差性，所得估计值更加接近最佳线性无偏估计。仿真实验结果表明，所提算法在节点定位精度上较现有的基于双曲线定位的DV-Hop算法都有一定提高。(Aiming at the proble
estimation
- 用的是estimation加权最小二乘法状态估计法, 主要思想： 1、建立一个生成zdatas.m的函数，函数中先调用潮流计算； 2、电压幅值结果在潮流结果的bus变量中；节点注入功率量测取PQ节点负荷值的相反数；传输功量测取branch中的传输功率值。 3、对上一步提到的量测值随机添加白噪声； 4、视算例所要分析的问题，确实是否设置坏数据，若是，则设置； 5、将添加白噪声和坏数据后的量测输出到zdatas.m文件中。(The main idea is to use the estim
function
- 进行双加权最小二乘法拟合疲劳寿命数据，得到疲劳极限以及S-N曲线(Fitting fatigue life data with double weighted least square method)
程序代码WLS
- 加权最小二乘电网状态估计1111113gfvcndnfghhgk(Weighted least squares power system state estimation 1111113gfvcndnfghhgk)
DeconvolutionCode-LevinEtAl07
- 所附代码提供了上述三种反卷积策略的实现。要开始，用户应该检查文件demo.m。反褶积子程序在以下文件中实现:deconvL2频率.m:在频域反褶积，假设高斯导数在前面。2.deconvL2.m:利用共轭梯度算法，假设在空间域上存在高斯导数先验的反褶积。3.deconvSps.m:利用迭代重加权最小二乘算法，在空间域上假设一个稀疏导数先验的反褶积。(The enclosed code provides the implementation of the above three deconvolut