SAR

程序实现了直接序列扩频通信系统，简单易懂。(Program realization of the direct sequence spread spectrum communication system, straightforward.)

This letter addresses the problem of fetal electrocardiogram (FECG) extraction. A class of source extraction algorithms is proposed, which uses a combination of two di® erent approaches: Barros s source extraction approach and HyvÄ arinen s ˉxed- point approach.

本文档是在matlab中配置vlfeat的说明，详细说明了配置步骤，并附带了一个关于图像拼接的实例，希望对有需要的朋友有帮助(This document is in the matlab configuration vlfeat instructions detailing the configuration steps, and comes with an example on the image mosaic, we want to help a friend in need)

使用对称秩1算法求解无约束问题 输入包括初始点，目标函数和梯度 输出包括最优点最优解和迭代次数(Rank 1 using symmetric algorithms for unconstrained problems including initial entry points, the objective function and the gradient of the output, including the most optimal solution and the advantages of iterations)

基于新的树编码方式用免疫遗传算法解决DCMST问题：提出了一种新的树编码方式，可以方便地表达一棵树，简化了树在遗传算法中的编码表达。且新的树编码方式清楚地表达了边的信息，有利于疫苗的设计。此外，本文使用免疫遗传算法，有效地克服了传统遗传算法中解退化的现象。数值实验表明，解的振荡相对于传统遗传算法减小了，且收敛速度更快。(New tree-based encoding genetic algorithm with immune DCMST problem: A new tree encoding, you can easily express a tree, the tree simplifies the code in the expression of genetic algorithm. And new tree encoding side clearly expressed information is conducive to vaccine design. In addition, we use the genetic algorithm can effectively overcome the traditional genetic algorithm, the phenomenon of degradation in the solution. Numerical experiments show that the oscillation of solutions with respect to reducing the traditional genetic algorithm, and the convergence faster.)

program that compares the DCT of two matrix

matlab实现语者识别系统,可以实现录音保存播放功能，在后和库中的声音进行对比，检测出这是谁的声音。(matlab implementation speaker recognition system, can save the recording playback, the voice of the library and after comparison, to detect who is this voice.)

classes in c++ and helps to learn the language

采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network so that it can fit a sine additional white noise sample data.)

the graph of x=0.2*(1.2^n)