DTI_Estimation

Introduction Some times it is required that we build a shared library (DLL) from an m-file. M-files are functions that are written in Matlab editor and can be used from Matlab command prompt. In m-files, we employ Matlab built-in functions or toolbox functions to compute something. In my past articles, I showed you some ways to use Matlab engine (vis. API, C++ class or Matlab engine API) for employing Matlab built-in functions, but what about functions that we develop? How can we use them in VC? Is there any interface? This article shows you an idea to employ your own Matlab functions.

说明：  ec627 speech processing course programs lab2

说明：  MATLAB使用重要源程序,matlab与visual c++重要转换(important matlab/visual c++)

MATLAB SIMULINK建模与仿真实例精讲。(MATLAB SIMULINK earnestly modeling and simulation examples.)

实现基于PSO的混合粒子优化算法,具有很好的稳定性和快速性(Search algorithm based on hybrid particle swarm optimization algorithm based on TSP)

说明：  k均值聚类的RBF神经网络能够有效的预测回归模型，便于节省空间(K-mean matlab k you know w is mean x you can desplay)

该程序实现了彩色图像到RGB以及YUV分量的转化，思路清晰，可直接运行。(The program implements the image to RGB and YUV color component transformation, clear, can be directly run.)

protocol implementation for viewing data

说明：  BP网络是通过输入层到输出层的计算来完成的。多于一层的隐含层虽然能在速度上提高网络的训练,但是在实际应用中需要较多的训练时间,而训练速度可以用增加隐含层节点个数来实现,因此在应用BP神经网络进行预测时,选取只有一个隐含层的三层BP神经网络就足够了。(The BP network is completed through the calculation of the input layer to the output layer. Although the hidden layer of more than one layer can improve the training of network in speed, more training time is needed in practical application, and the training speed can be realized by increasing the number of hidden layer nodes. Therefore, when the BP neural network is used to predict, the three layer BP neural network with only one hidden layer is sufficient.)

单级倒立摆稳定控制实验，运用matlab，编程仿真，(Research on an inverted pendulum optimal control system based on LQR )