MatlabC++

FIND ONE PIXEL VAUE IN WHOLE IMAGE BY RAJESH

张量的模式展开是一个基本的技术，已有各种代码展开结果不尽相同，本代码是根据张量研究领域权威文献“Tensor Deco们positions and Applications”中的公式编写，并经过多次实例验证，与理论描述相符。文件包括两个m文件，一个是按模n展开，而另一个是逆变换，即按模n叠合。(unfolding of the tensor mode is a basic technology, there are a variety of code to make different result. However this code is written by referring to the authority of the tensor field of research literature Tensor Deco their positions and Applications and after several instances verification, is consistent with the theoretical description. The documents include two m-files, one is unfold.m, and the other is the inverse transformation, that is refold.m.)

说明：  修改控制策略扭矩分配模块，离合器改为转速控制(Modify the control strategy torque allocation module and change the clutch to speed control)

是2014年的cnn上的一个变化的网络，将卷积层与池化层之间的线性关系变成1×1的卷积层的非线性关系，名为network in network(Is a change in the 2014 cnn on the network layer of the linear convolution and pooled into a non-linear relationship between the layers 11, convolution layer, called the network in network)

说明：  包含AR信号建模的常用算法和数字滤波器格型参数和直接参数的转换，亲测好用！(AR signal modeling algorithm and conversion of lattice parameters and direct parameters of digital filter.)

说明：  libsvm的参数寻优程序。针对SVR提供full gridsearch方式的参数寻优，主要用于SVM回归预测(libsvm optimization process parameters. Provide full gridsearch for SVR parameter optimization approach, mainly used for SVM regression prediction)

说明：  自动控制系统中滑膜变结构控制matlab仿真程序(Automatic Control System of Variable Structure Control of synovial matlab simulation program)

非线性回归用支持向量机通用MATLAB源码(Support Vector Machine for Nonlinear Regression)

解一阶微分方程的matlab龙格库塔法计算程序算例(Solution of first-order differential equations Runge-Kutta method matlab program examples)

实现图片的sift特征的提取，并能够进行聚类，生成词典。并且附带详细的注释及说明。我们现在的图片有关sift的，都是使用此代码。绝对可用。对初学者和开发者都有很大的帮助。(Achieve the picture sift feature extraction and clustering can generate dictionary. And with detailed notes and instructions. We are now about sift pictures, are using this code. Absolutely available. For beginners and developers are of great help.)