MeanFFT&LSCE

利用mfc编程实现acess数据库的存储与访问，对于小型的数据库很实用(Mfc programming using acess database storage and access, the database is very useful for small)

Java 连连看游戏，简单，源码 (Java, Snake game, simple, source)

地图编辑器 很强大的游戏编辑器源码值得-Map editor is very powerful game editor, source code is worth a look

利用18B20测温 并用LCD1602进行显示(18B20 temperature and use LCD1602 display)

说明：  softmax回归模型是一种常用的分类器，也是与深度结构模型相结合最多的分类方法.(Softmax regression model is a common classifier, and it is also the most combined with deep structure model)

说明：  1、包含GVF Snake和CGVF Snake的Matlab工具包 2、调用工具包内各函数完成GVF Snake和CGVF Snake的完整示例代码及其注释 3、附梯度矢量流英译汉注释文献(1. Matlab Toolkit with GVF Snake and CVF Snake 2. Call the functions in the toolkit to complete the sample code of GVF Snake and CVF Snake (annotated) 3. English-Chinese Translation of Annotated Documents with Gradient Vector Stream)

说明：  EF Core增删改查，DB Frist的一些操作(Some operations of DB frist)

socket通讯程序，从客户端发送若干字符后在在服务器端接收-socket communication process, from the client to send a number of characters in the server side to receive

小波分解可以使人们在任意尺度观察信号，只需所采用的小波函数的尺度合适。小波分解将信号分解为近似分量和细节分量，它们在应用中分别有不同的特点。比如，对含有噪声的信号，噪声分量的主要能量集中在小波分解的细节分量中，对细节分量做进一步处理，比如阈值处理，可以过滤噪声。(Wavelet decomposition allows people to observe signals at any scale, just the size of the wavelet function is appropriate. The wavelet decomposition decomposes the signal into approximate and detail components, and they have different characteristics in application. For example, for noisy signals, the main energy of the noise component is concentrated in the detail components of wavelet decomposition, and further processing the detail components, such as threshold processing, can filter the noise.)

说明：  第一章 线性规划 第二章 整数规划 第三章 非线性规划 第四章 动态规划 第五章 图与网络 第六章 排队论 第七章 对策论 第八章 层次分析法 第九章 插值与拟合 第十章 数据的统计描述和分析 第十一章 方差分析 第十二章 回归分析(Chapter I linear programming Chapter II integer programming Chapter III nonlinear programming Chapter IV dynamic planning Chapter V diagram and network Chapter VI queuing theory Chapter seven game theory Chapter VIII analytic hierarchy process Chapter 9 interpolation and fitting Chapter X statistical description and analysis of data Chapter 11 analysis of variance Chapter 12 regression analysis)