sunouhe

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.

给定特征函数，求解正交基,利用了SVM分解，快速有效兼容性好(Given the characteristic function, solving orthogonal basis)

实现模糊动态神经网络的一种matlab程序，直接粘贴到命令窗口可运行(a program could realize DFNN in matlab)

单色发散光束经透射型布拉格光栅的特性的matlab仿真图示(Monochromatic divergent beam transmission Bragg grating characteristics)

MATLAB，紋理分析，利用GLCM來得到Entropy、homogenity、itensity、correletion、IDM、ENRGY...十多種紋理特性(MATLAB, texture analysis using GLCM to get Entropy, homogenity, itensity, correletion, IDM, ENRGY ... more than ten kinds of texture features)

matlab 计算经典实例程序，助你成为matlab大人(Find prime numbers, find prime numbers program to help beginners master the simple programming)

基于最小二乘法的参数辨识，该模型为二阶模型(Parameter identification based on the method of least squares for second-order model)

用EKF/UKF的Matlab仿真程序包(With EKF/UKF the Matlab simulation package)

matlab基础视频教程（原创） 基本操作及其界面介绍(matlab video tutorial basis (original) introduced the basic operation and its interface)

ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available) Information gain is defined as: InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute) Gain ratio is defined as: GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute). ...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi