Matlab-C-CPP

说明：  这是一个关于MATLAB编程的PDF文档，希望对大家学习MATLAB编程有所帮助。(This is a pdf about matlab progressing,I hope it will be useful to you!)

matlab to zemax program

法国人改进EMD的新程序，包含了EMD，EEMD，CEEMDAN算法，并含有具体例子(A complete ensemble empirical mode decomposition with adaptive noise.pdf)

说明：  ：针对MP3 编码方式和帧结构进行分析，利用帧中的比例因子提出了一种压缩域水印算法。算法通过引入帧变化分析步 骤，很好地实现了水印的自适应嵌入。对于不同的系统要求，还可以通过修改门限信噪比的值SNRlim按需进行水印嵌入，使算法 具有更大灵活性。同时在牺牲一定的嵌入空间前提下，实现了水印信息的自同步。实验表明，对于不同风格的音乐，该水印算法 具有很好的不可听性。(In this paper，the encoding method and the frame structure of MP3 are expounded in detail，a watermark algorithm is proposed based on the scale factor in MP3 frame.By introducing the step of frame altering analysis，the algorithm can realize that watermarks is embedded adaptively.By modifying threshold SNRlim（the ratio of signal to noise），the algorithm can meet different requirements of some system，that is what enable the algorithm to have a bigger flexibility.Based on expense of some embedding positions，the watermark can be embedded with self-synchronization.The experiment results show this algorithm can get a good audio effect with various types of audio.)

vmd，MATLAB程序，针对EMD分解引起的模态混叠问题，能够得到较纯净的IMF分量(VMD, MATLAB program, for the modal aliasing problems caused by EMD decomposition, can get relatively pure IMF components)

该文件流体热传递仿真实例程序。包含各种情况的液体热传递的仿真，思路清晰，代码规范，对于流体热传递的分析具有非常重要的参考价值。(The file fluid heat transfer simulation example program. Includes a variety of liquid heat transfer simulation, clear thinking, coding standards, and has a very important reference value for the analysis of the fluid heat transfer. )

This code draw a red rectangle aroud the face

Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.

用于计算复杂网络节点相关性，帮助大家对复杂网络的结构进行分析和计算，从而更加深刻的刻画网路结构。(Complex network nodes correlation)

地震波格式转换 地震波格式转换 地震波格式转换(Earthquake Earthquake Pogue Pogue conversion conversion)