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说明：  文件组合合并. 该程序用于将两个文件（可以是txt或xls文件）进行组合合并，例如假设A.txt文件中含有‘00’和‘01’两行，B.txt文件中含有‘aa’和‘ bb’两行,则合并后的文件AB.txt文件中含有‘00aa’、‘ 00bb’、‘01aa’和‘ 01bb’四行。(Combination of the merger document. The program for the two files (can be a txt or xls file) in the combined portfolio, such as the assumption A.txt document 00 and 01 contains two lines, B.txt documents containing aa and bb two lines, then after the merger documents AB.txt document containing 00aa, 00bb, 01aa and 01bb quatrain.)

this is a powerful toolbox for model predictive control in matlab

在球面，曲面上计算任意一一点的曲率值，梯度值。(Calculate any point on the sphere, surface curvature values​ ​ , gradient values.​ ​ )

说明：  一个简单的色彩迁移程序，可以顺利的实现对灰度图像的上色，程序编译通过，有较好的效果(a simple relocation process color, the smooth realization of the right color to grayscale images, compiler, better results)

说明：  上采样和内插，使得系统中同时出现的窄带信号和宽带信号能够采用适合本信号的采样率(On sampling and interpolation, making the system at the same time, the narrowband signals and broadband signals can be used for the signal sampling rate)

使用MATLAB对通信中的一种调制技术QPSK进行编程实现，分析其误码率(The use of MATLAB for communication in a QPSK modulation technique to program implementation, analysis of its error rate)

很好的一篇论文，内容讲解的很透彻啊，在我的工程项目中可是帮了大忙了(Very good paper, the content on a very thorough ah, in my project but of great help the)

自行编写的加入噪声估计的KSVD去噪算法，利用SVD分解进行噪声估计( KSVD denoising algorithm to prepare the addition of noise estimation, the use of SVD decomposition noise estimation )

在机器学习时需要图像groundtruth，本程序是一个matlab脚本，可以快速提取图像groundtruth，并保存为mat文件(you can get the object groundtruth in a picture, using my program. It s convenient for you when you do research on machine learning.)

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)