fouriertransmation

对采集来的图像进行预处理，去噪、滤波、提取出边缘的图像。(The collected image preprocessing, noise reduction, filtering, extracting the edge image.)

Matlab和VC混合编程，VC6.0工程设置，图文介绍很详细，在Matlab和VC混合编程中，这一步设置非常重要(Matlab and VC hybrid programming, VC6.0 engineering settings, graphic description is very detailed and hybrid programming in Matlab and VC, this step is quite important)

ANALYSIS FILTER BANK OF IMAGES

单脉冲扩频角跟踪仿真程序，适用于单脉冲雷达接收机。(Single pulse spreading angle tracking simulation program for single pulse radar receiver.)

数字滤波器 常用数字滤波器函数，包括高通、低通、带通、带阻(digital filter)

均匀圆阵的常规波束形成，没有使用自适应波束形成。uniform circle array beamform(uniform circle array beamform)

AMDF平均幅度差法检测基音周期，经试，可得结果(AMDF average magnitude difference was detected pitch, after the test, the results can be obtained)

platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点： 1.完全由MATLAB开发，不需要任何其它库。 2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。 4.强大友好的GUI，可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)

通信系统中，连续相位调制（msk）与解调的MATLAB实现。(Communication systems, continuous-phase modulation (msk) and demodulation of MATLAB to achieve.)

提供一个粒子群算法的实例代码，对于初学者和进一步开发者用很大的帮助(Provide a PSO algorithm code examples for beginners and more developers with great help)