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神经网络是单个并行处理元素的集合，我们从生物学神经系统得到启发。在自然界，网 络功能主要由神经节决定，我们可以通过改变连接点的权重来训练神经网络完成特定的功能。如人脑的某一部分进行机械记忆特别有效 而某一部分进行抽象思维特别有效。(Nervous system has some functions. Here I make them by using Matlab.)

一束光通过一个透明圆柱体，圆柱后有一个屏幕，程序最终反映屏幕上的 图象随圆柱半径的变化而变化。其中光强分布是采用相干叠加原理，因为其中采 样点数目不足，所以光强分布的结果和真实的有一定差距。增加采样点数目和改 变采样点范围能够改善输出光强的结果逼真程度。(一束光through a transparent cylinder, a cylindrical post-screen process will ultimately reflect the on-screen image with the cylindrical radius change. Light intensity distribution of which is the principle of coherent superposition, because the insufficient number of sampling points, so light intensity distribution of the results and have some real gaps. Increase in the number of sampling points and to change the scope of sampling points can improve the outcome of the output light intensity the degree of realism.)

MATLAB关于数字信号编程，又从函数使用到复杂程序的源代码，涵盖MATLAB所有基础知识(MATLAB programming on the digital signal and from the function used to complex program' s source code, covering all the basics of MATLAB)

since direct jornal English

Buck电路的Simulink电路仿真,可以运行验证Buck电路的工作原理。(Buck circuit, circuit simulation, Simulink can run to verify the working principle of the Buck circuit.)

Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM system based on the parameter of Mean square erro

四维超混沌系统相图 两个文件都要打开 并且运行第二个文件即可(4 d chaotic attractor in the phase diagram)

基于omp重构算法的压缩感知的正交化高斯测量矩阵的图像压缩算法(Based on omp restructuring algorithm compression sensation orthogonalization Gauss measurement matrix image compression algorithm )

利用最小距离分类器分类３种鸢尾属植物 load fisheriris 载入Matlab自带的鸢尾属植物数据集 每类的前40个样本用于生成代表该类的模板，后10个作为独立的测试样本(Plant data sets The first 40 of each class used to generate the samples representative of the class template 10 after the test sample as separate)

一种进行小波降噪后，对特征库的信号进行信号经验模态分解的例子(An example of signal empirical mode decomposition for signal of characteristic library after wavelet de-noising)