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
leastsquaresmethod
- 用不加权的递推最小二乘法进行参数估计，用于系统辩适、仿真
irls
- 迭代加权最小二乘法（IRLS） 本算法用于解决某些优化问题。-IRLS(Iteratively reweighted least squares) The method of iteratively reweighted least squares (IRLS) is used to solve certain optimization problems.
qiufang_v58
- IDW距离反比加权方法，有循环检测，周期性检测，采用偏最小二乘法。- IDW inverse distance weighting method, There are cycle detection, periodic testing, Partial least squares method.
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.
qenliu
- 采用偏最小二乘法，相控阵天线的方向图（切比雪夫加权），现代信号处理中谱估计在matlab中的使用。- Partial least squares method, Phased array antenna pattern (Chebyshev weights), Modern signal processing used in the spectral estimation in matlab.
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.
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.
kiukao_v70
- 包括最小二乘法、SVM、神经网络、1_k近邻法,供做算法研究人员参考，采用加权网络中节点强度和权重都是幂率分布的模型。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Algorithm for researchers to do reference, Using weighted model nodes in the network strength and weight
hunyui
- 均值便宜跟踪的示例，利用最小二乘法进行拟合多元非线性方程，相控阵天线的方向图（切比雪夫加权）。- Example tracking mean cheap, Multivariate least squares fitting method of nonlinear equations, Phased array antenna pattern (Chebyshev weights).
kengjang_v13
- 包括最小二乘法、SVM、神经网络、1_k近邻法,IDW距离反比加权方法，时间序列数据分析中的梅林变换工具。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, IDW inverse distance weighting method, Time series data analysis Mellin transform tool.
fui_pk18
- 利用最小二乘法进行拟合多元非线性方程，高斯白噪声的生成程序，相控阵天线的方向图（切比雪夫加权）。- Multivariate least squares fitting method of nonlinear equations, Gaussian white noise generator, Phased array antenna pattern (Chebyshev weights).
sen_fk58
- 利用最小二乘法进行拟合多元非线性方程，这是第二能量熵的matlab代码，计算加权加速度。- Multivariate least squares fitting method of nonlinear equations, This is the second energy entropy matlab code, Weighted acceleration.
ming_am50
- ldpc码的编解码实现，计算加权加速度,包括最小二乘法、SVM、神经网络、1_k近邻法。- Codec ldpc code implementation Weighted acceleration, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
heng
- 是一种双隐层反向传播神经网络，采用偏最小二乘法，计算加权加速度。- Is a two hidden layer back propagation neural network, Partial least squares method, Weighted acceleration.
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)
RAIM
- 进行卫星接收机自主完好性监测，利用RAIM算法中的加权最小二乘法(The Technology of Satellite Autonomous Integrity Monitoring)
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