L6.1

用matlab求两个向量的相关函数，可以直接执行(Using matlab for the correlation function of two vectors can be directly executed)

PLSA EM演算法，用於文本與字詞之間的矩陣工具，測量其相似度(PLSA EM algorithm for the matrix between the text and words tool to measure the similarity)

非常不错的书籍，《微粒群算法》供8章和2个附录，依次上传第一章绪论(Very good books, Particle Swarm Optimization for Chapter 8 and Appendix 2, followed by From Chapter I Introduction)

提供一种求解最优哈密尔顿的算法---三边交换调整法，要求在运行jiaohuan3（三交换法）之前，给定邻接矩阵C和节点个数N，结果路径存放于R中。 bianquan.m文件给出了一个参数实例，可在命令窗口中输入bianquan,得到邻接矩阵C和节点个数N以及一个任意给出的路径R,，回车后再输入jiaohuan3,得到了最优解。 由于没有经过大量的实验，又是近似算法，对于网络比较复杂的情况，可以尝试多运行几次jiaohuan3,看是否能到进一步的优化结果。 (Provide an optimal algorithm Hamilton- trilateral exchange Adjustment Act, requiring running jiaohuan3 (c exchange) before a given adjacency matrix C and the node number N, the results of the path stored in the R in. bianquan.m document gives examples of a parameter can be in the command window, type bianquan, be the adjacency matrix C and the node number N and an arbitrary given path R,, carriage return after the input jiaohuan3, have been the optimal solution . After the absence of a large number of experiments, it is approximate algorithm, for more complex network situations, you can try to run several jiaohuan3, can look to further optimize the results.)

说明：  常用函数的汇总，有利于日常编程使用，用到某个函数时，可以直接整段截取(Common function)

1、matlab程序的基本语句程序设计 2、利用matlab程序作图 3、在线帮助和文件管理(1.Matlab program statement program design 2.using matlab program mapping 3.online help, and file management)

MVDR谱估计，用于噪声估计，在手机麦克风降噪上有很广的应用(MVDR spectral estimation for noise estimation, noise reduction microphone on the phone has a very broad application)

抽样定理演示程序，能清楚看到当抽样速率大于2fs时恢复模拟信号的过程和当抽样频率小于2fs时频率混叠的过程。同时还包括频率抽样过程的演示。非常详尽。通过此演示程序，你肯定能明白抽样定理这一通信领域基本的原理！(The sampling theorem demo program, you can clearly see that when the recovery process of the analog signal sampling rate greater than 2fs and frequency aliasing when the sampling frequency is less than 2fs process. Also includes a demonstration of the frequency of the sampling process. Very detailed. Through this demonstration program, you can certainly understand sampling theorem this basic principle in the field of communication!)

此程序可用于实现基于神经网络的工程性能预测。(this procedure can be used to achieve based on neural network projects performance prediction.)

用lms迭代算法求解AR参数模型的权向量及学习曲线的训练(using lms to find out the learning plot)