signal_analyzer

说明：  小波变换 图象处理 matlab 应用小波变换来实现压缩图像编码(Image processing matlab wavelet transform based on wavelet transform to achieve compression image coding)

算24点的程序,Matlab下使用,比赛主办方提供的参考资料,完全可以使用.(Count 24 point program, Matlab is used, the game organizers to provide reference materials can be used.)

利用matlab针对图像进行马氏距离计算 ,小波包分析提取振动信号中的特征频率，随机调制信号下的模拟ppm。( Using matlab to calculate the Mahalanobis distance for the image, Wavelet packet analysis to extract vibration signal characteristic frequency, Random ppm modulated analog signal unde.)

说明：  实现高低频功率自动分配，对于混合储能系统优化利用具有重要的意义。(the simulattion program realize the parallel of the battery and the super-capacitor)

moving object dection with the three dimendional analysis

最佳升余弦滚降系统的多径传输. 滚降系数0.5, 取样时间无偏差.(best Raised Cosine system multipath transmission. Roll-off coefficient of 0.5, sampling time without deviation.)

it all about project on OFDM

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.)

这是核函数独立分量分析KICA的源码和相关程序，希望大家用得上。(This is a kernel independent component analysis of the source KICA and related procedures, I hope everyone useful.)

在FFT后信号的频率往往与谱线不相重合，而在两条谱线之间。为了要求得信号的频率、幅值和初始相角，必须要使用修正法来完成。这里给出一种修正法。(After the signal in the FFT frequency spectrum often do not coincide, and in between the two lines. Request for a signal frequency, amplitude and initial phase angle, we must use to complete the Amendment Act. Here are a Amendment Act.)