搜索资源列表
LS-ILDA
- machine learning least square - incremental LDA
NO5
- 信道估计，Least-square方式，基于QPSK(Channel estimation, Least-square mode, based on QPSK)
非线性最小二乘问题
- 利用最小二乘法可以求解线非性规划问题，最小二乘法着重解决优化约束问题(Least square method can solve nonlinear programming problem.Least squares method focuses on solving optimization constraints)
positioning8
- this is a Matlab code to create an indoor positioning system by using a weighted least square algorithm
微惯性测量单元的误差整机标定和补偿
- 提出了微惯性测量单元( MIMU) 在高动态、高过载复杂应用条件下的误差整机标定和补偿方法。首先, 建立了高动态, 高过载复杂应用条件下MIMU 的误差模型, 该模型包括了结构误差, 传感器安装误差和MEMS 惯性传感器在复杂条件对精度影响较大的误差项, 指零位温度漂移、互耦误差、刻度因子非线性和微陀螺加速度效应误差; 根据模型提出了整机标定补偿方法, 该方法可以标定MIMU 的63 个误差系数, 并且不需要对单个传感器进行标定。然后, 介绍了利用最小二乘法对模型进行误差系数标定的方法和步骤,
正交多项式最小二乘拟合
- 计算给定点列的曲线拟合最小二乘法得到的函数(The function of least square method for curve fitting of fixed point column)
aaa
- 采用最小二乘法计算八个分潮M2，S2，N2，K2，K1，O1，P1和Q1的调和常数，进行潮位自报，与给定的潮位进行比较（画图）并计算方差，在结果验证的基础上进一步模拟潮位位变化(The harmonic constants of eight tides M2, S2, N2, K2, K1, O1, P1 and Q1 were calculated by the least square method. The tidal level was self-reported, compared w
NN_MLP_classifier
- NN Least square regularization
偏最小二乘回归的线性与非线性方法(书.王惠文)
- 偏最小二乘回归的线性与非线性方法，王惠文著。讲了偏最小二乘通径回归模型和递阶偏最小二乘回归模型。(Partial Least Squares Regression Linear and Nonlinear Methods, by Wang Huiwen. The partial least square path regression model and the hierarchical partial least-squares regression model are introduced.
扫描发射器的被动定位
- 研究了扫描速度和扫描发射极位置的联合估计问题。该方法利用天线主梁的均匀旋转运动，将其扫过若干个独立的接收器。基于非线性最小二乘估计(NLS)，建立了一个联合估计器。通过几个仿真实例，比较了所提出的估计量与cramer- rao下界(CRLB)的性能。(The joint estimation of scanning velocity and scanning emitter location is studied. The method USES the uniform rotating mot
Channel_estimation_remade
- Matlab Code for Channel estimation using LS method
递推最小二乘法实现及推广
- 最小二乘递归算法仿真及其推广应用，很好地实现了最小二乘法(Least square recursive algorithm simulation and its popularization and application, the least square method is well realized.)
LS-SVM
- 最小二乘算法的改进，最小二乘SVM的实现！(Improvement of SVM by Least square SVM.)
zxecf
- 最小二乘法的实现,基本的程序编写，对于初学者是一个好的参考(The implementation of the least square method, the basic program writing, for beginners is a good reference)
QRdecomposition
- QR 分解，包括householder 变换，用于矩阵分解，最小二乘法(QR decomosition including householder transform, you can use it to solve least square problem.)
chap2_1
- 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(The least square method (also called the least square method) is a mathematical optimization technique. It m
多项式最小二乘法拟合
- 最小二乘法拟合多项式，效果非常好，与MATLAB的多项式拟合基本一样。亲自在STM32板子上跑过，几乎直接出来答案。用法简单，包含头文件然后直接调用即可，电脑或者开发板都可以直接跑。 注意！注意！注意！说三遍...拟合之后多项式的变量x其实是（X-a），a是输入数据点的均值。(The least square method fits the polynomial, and the effect is very good. .)
rls
- simulink的递推最小二乘法用s文件编译的(The recursive least square method of Simulink is compiled with s file)
Matrix
- 最小二乘法的c语言程序，能求解多元方程组，具有良好的效果(The C language program of the least square method can solve the multiple equations. It has good effect.)
作业六遗忘因子
- 利用matlab实现遗忘因子最小二乘算法，绝对可以运行(Using MATLAB to realize the forgetting factor least square algorithm, it is absolutely possible to run)