OFDMtb

哈夫曼编码（huffman）编码，实现了其基本功能(Huffman Coding (huffman) encoding, to achieve its basic functions)

另外两种计算短傅立叶变换得matlab程序，已经通过，可以用(The other two short-Fourier transform was calculated matlab procedures, has already been adopted, can be used)

说明：  计算非线性信号与5阶gold序列互相关程度大小的程序，含5阶gold序列的生成。并分析自互相关性能(Calculation of nonlinear signal and the 5-order serial correlation degree of gold the size of the program, including five gold bands generated sequences. And analyzed from the correlation properties)

this code first reads an image and decomposed it in discrete wavelet transformation.hl1 and hl2 are extracted to embed watermark. watermark is added to hl1 and lh1 and inverse dwt is applied.

monte carlo method implemented on matlab : presentation + demo source code on matlab

风电塔架风速时程曲线与风荷载时程曲线模拟。本代码依据IEC 61400-1标准，用于模拟具有一定功率谱密度和自相关性的风速时程曲线，并计算叶片及塔架上的风荷载。方法为基于三角级数叠加的谐波合成法（Hansen，2008）和叶素动量法。功率密度谱采用Kaimal谱函数。(Curves of wind speed and wind load-time curve Cheng wind tower. The code according to IEC 61400-1 standards, and procedures used to simulate the spectral density curve has a certain power the time correlation of wind speed and calculate the wind load on the blades and tower. The method is based on trigonometric series superposition of harmonic synthesis (Hansen, 2008) and the blade element momentum method. Kaimal power density spectrum using spectral function.)

说明：  多目标跟踪软件流程如下： 初始化函数 初始化轨迹对象 读取一帧数据 前景检测 根据位置进行卡尔曼预测 匈牙利匹配算法进行匹配 分配好的轨迹更新 未分配的轨迹更新 删除丢掉的轨迹 创建新轨迹 结果展示(The flow of multi-target tracking software is as follows: Initialization function Initialize track object Read a frame of data Foreground detection Kalman prediction based on location Hungarian matching algorithm for matching Assigned track update Unassigned track update Delete lost tracks Create a new track Result display)

说明：  此代码为计算离散随机变量的熵、联合熵、条件熵、互信息的 Matlab 程序(This code is a matlab program for calculating entropy, joint entropy, conditional entropy and mutual information of discrete random variables)

自己编写的地震资料中地震褶积模型的建立，每一个部分都有标注，很清楚适用于初学者(I have written in the seismic data seismic convolution model, each part has a label, it is clear for beginners)

RADAR scateriing using pulse compression principle