OMP

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

Algorithm Collections for Digital Signal Processing Applications using Matlab - E.S. Gopi

说明：  图像滤波实现中值滤波，自适应，对比结果，图像使用(Image filtering, median filtering, adaptive, comparative results, medical image use)

Talking about adaptive filter digital

MATLAB 学习资料,关于GUI界面编程好书(MATLAB learning materials, a good book on the GUI interface programming)

力学中计算夹杂eshelby张量和平均eshelby张量，能够计算各向异性基体中椭球夹杂和各向同性基体锥形夹杂(eshelby tensor)

Gets any matlab variable (number-, cell-, struct- or object -array) from pnet. This file(s) is part of the tcp_udp_ip toolbox

误码率仿真原理推导睡眠以及相应的matlab程序(BER simulation schematic derivation of sleep and the corresponding matlab program)

PSO 仿真软件包, 设计各种粒子群算法，最优化算法。(Particle ,Filtering,simulator)

感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。(The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, its correction, the correction method is actually the most optimization techniques the gradient descent method, upload matlab to solve perception problems.)