warping

计算horn天线的电磁场分布。根据fdtd放大计算天线所有信息。(his MATLAB M-file will produce the FDTD solution of a sectoral (2-D) Perfectly Electric Conducting (PEC) horn antenna excited by a sinusoidal voltage in a TEz computational domain. )

基于MATLAB的Walsh函数的产生.在MATLAB程序仿真部分，主要分为6大部分，分别为主函数，发送模块，接收模块，AWNG信道，Walsh函数和差错计数器。(Walsh functions generated based on MATLAB.MATLAB simulation program in part, is divided into six parts, the main functions are sending module, receiver module, AWNG channel, Walsh functions and error counters.)

用XWindow绘制曼德博罗集，可以缩放显示，参数调整简单，附有详细说明文档。(Draw Mandelbrot Set with X-Window on Linux, can be printed with different scale, parameters can be modified with ease. Readme document attached.)

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)

粒子群算法的优化方法，很实用，还有相关文档。(Particle swarm optimization method, it is practical, as well as related documentation. )

predictor linela para prosesamiento digital de señ ales en matlab con el algoritmo de durbin

说明：  一组完整的带注册程序的C#原代码，是基于C语言编写的(A complete set of registration procedures with the C# source code, is based on the C language)

Read and write miniSEED file

NumPy Beginner’s Guide - Second Edition的源码（《Python数据分析基础教程，munpy学习指南（第二版）》），有助于学习numpy。(NumPy Beginner s Guide- Second Edition source code ( Python data analysis based tutorial, munpy Study Guide (Second Edition) ), contribute to learning numpy.)

利用蒙特卡洛模拟做在消息网络中数据包传输数量的预测，基于的原理是传染病传输模型的二项性。(This coding is based on Monte Carlo dissemination, which targets at the prediction of number of packets being delivered in a network. This whole process is based on the bimodal behavior of epidemic algorithm.)