MyGUIEngine

在MATLAB实现的用C实现的KNN算法，输入训练数据文件，和test文件，进行预测分类，并且可以与真实情况比较测试预测正确百分比(Implemented in MATLAB KNN algorithm implemented in C, the input training data file, and test files, to predict the classification and testing with the real situation is more correct percentage of predicted)

介绍晶体结构，以及如何构建位错，纳米孪晶，如何利用C++与matlab编程(Introduction crystal structure, and how to build dislocations, nano twins, how to use C++ and matlab programming)

《VisualC++-MATLAB图像处理与识别实用案例精选》书的源代码，里面各个章节的程序例子都有("VisualC- MATLAB image processing and recognition practical case Showcase" on the source code, inside the various sections of the procedures examples)

说明：  ml detection mimo good

针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (For the signal adaptive the chirplet decomposition of unknown parameters to achieve difficult to literature [1] proposed a new fast algorithm for chirplet decomposition. The algorithm makes use of the secondary phase of the calculated signal function, the conclusion focused on energy distribution curve to tune the frequency of the signal by the peak detection chirplet tune frequency, time center and amplitude estimates then by solving chirp technology to obtain the initial frequency and width is estimated that the simulation results demonstrate the effectiveness of the proposed algorithm.)

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这是激光猝发信号的信号模拟，他是信号模拟的基础，也是信号调制与解调的信号源。(This is a laser burst signal analog signal, he is the basis of signal simulation is the signal modulation and demodulation of the signal source.)

Visual C++_MATLAB图像处理与识别实用案例精选+源代码(Visual C++ _MATLAB image processing and recognition of practical case selection+ Source Code)

本文是music算法的一种改进，其具有更好的性能，以及能够满足大多数用户的需求，希望会给大家带来方便(This article is a modified music algorithm, which has better performance, and the ability to meet the needs of most users, I hope we will bring convenience)

Matlab转换为dll库再与C混合编程(Matlab and C mixed programming)