资源列表
stepwise
- 逐步回归的基本思想是将变量逐个引入模型，每引入一个解释变量后都要进行F检验，并对已经选入的解释变量逐个进行t检验，当原来引入的解释变量由于后面解释变量的引入变得不再显著时，则将其删除。以确保每次引入新的变量之前回归方程中只包含显著性变量。这是一个反复的过程，直到既没有显著的解释变量选入回归方程，也没有不显著的解释变量从回归方程中剔除为止。以保证最后所得到的解释变量集是最优的。本文件结合实例利用MATLAB实现逐步回归的过程。(The basic idea of gradual regressio
支持向量机（SVM）
- matlab程序段，在数学建模中使用，建模参赛程序分享(Program segment Using in mathematical modeling, modeling participation program sharing)
task
- 利用ployfit函数三维拟合，并三维插值，通过gui显示拟合三维公式、二维公式(The three-dimensional fitting and three-dimensional interpolation of ployfit function are used, and the three-dimensional formula and the two-dimensional formula are fitted by GUI display.)
HOG_LBP
- 融合hog与lbp特征的图像分类，使用svm进行分类，最终给出运行混淆矩阵(The image classification of hog and LBP features is classified by SVM, and the run obfuscation matrix is finally given.)
auralius-smc-example-8c37180
- design of sliding mode controller....
psomn
- sliding mode observer for permanent magnet synchronous motor
histogram_distance
- histogram distance finding program in designed by matlab
ppso
- class of particle swarm optimization
level_set_ac
- levelset based active contour matlab code
imagecartesian2polar
- image certain using polar coordinates
优化程序
- 利用MATLAB实现了盒滤波算法，盒滤波算法是一种加速优化算法，能成倍加快计算速度(The box filtering algorithm is realized by MATLAB, and the box filtering algorithm is an accelerated optimization algorithm, which can double the computation speed.)
Smoothing
- Xilinx System Generator : Smoothing