MATLAB-GUI-instruction-video-3

MATLAB-GUI初学相关资料 包含一些小程序与word文档ppt(MATLAB-GUI beginner information contains some minor procedures and word documents ppt)

在ar人脸库上的sparse kernel feature analysis程序，该程序挨个计算kernel空间鉴别向量，最后组成鉴别向量集进行分类(In the ar face database on the sparse kernel feature analysis program, which identified one by one calculation kernel space vector, the final set of vectors to classify the composition of differential)

一种mos模型建立方法，现在十分流行，希望大家喜欢(NEGF)

说明：  对图像形态学膨胀腐蚀运算，可以有效提取边缘。并有很强的抗噪能力。(Morphological dilation and erosion operations on images, you can effectively extract the edge. And have strong anti-noise ability.)

基于遗传算法的多目标函数优化问题的一种有效方法(An effective method for multi-objective optimization problem based on genetic algorithm function)

是一种在线序列OS-ELM算法的MATLAB程序，可参考论文A Fast and Accurate Online Sequential Learning。(matlab codes for OS-ELM(Online Sequential ELM))

实验中使用随机反向传播算法对构造的神经网络进行学习，最终得到构造的神经网络的权值矩阵。(Experiment using the random back-propagation algorithm to construct the neural network learning, the final structure of the neural network obtained the weight matrix.)

this code is used to show the result of power flow solution of a power system

假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。 在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 (Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality )

DSP理论分析以及MATLAB详细程序实例 非常不错(DSP theory analysis and MATLAB examples of detailed procedures)