freeCMA_2

基于STC89C52单片机，可以测量RLC的高精度的RLC测量仪的系统方案，包括原理图和PCB布线图(Based STC89C52 microcontroller, can be measured with high precision RLC RLC meter system solutions, including schematics and PCB layout)

说明：  群转发，可以qq群消息自动转发到微信，前提微信窗口要打开，本软件需要酷q登录，有问题联系我(hello world,Group forwarding, QQ message forwarding, QQ robot)

dos7.0　　可以用作启动盘，并且是自动做成磁盘启动，大家可以用一下-dos7.0 can be used as a boot disk, and is activated automatically create disk, we can use this

聚焦高斯光束传输时的模拟代码，输入出结果的一个程序(matlab Simulation of Gaussian Beam Focused by a Lens Using BPM)

安卓抓包工具，怎么用自己去研究。很简单的！！！(Android bag grabbing tools, how to use their own research. Very simple!!!)

利用信号本身的结构特征，通过附加不同的稀疏约束，该模型利用过完备字典进行信号分解，使其表示成字典中若干原子的线性组合，从而获得数据的精简表示。(By using the structural characteristics of the signal itself and adding different sparse constraints, the model decomposes the signal into linear combinations of atoms in the dictionary by using an over-complete dictionary, thus obtaining a simplified representation of the data.)

Gravity forms extension for Wordpress

VC++捕捉视频实例，测试本程序需要你的电脑中安装有摄像头，并有可用的摄像头驱动程序，然后启动本程序后，程序会自动启动摄像头，并弹出控制程序，操作控制程序可捕捉视频图像，程序只实现了基本的视频捕获，没有其它复杂程序。

此源码能够实现石头剪刀布的功能，并且简单易懂，-shitoujiandaobu

聚类分析是数据挖掘中重要的研究内容之一，对聚类准则进行了总结，对五类传统的聚类算法的研究 现状和进展进行了较为全面的总结，就一些新的聚类算法进行了梳理，根据样本归属关系、样本数据预处理、 样本的相似性度量、样本的更新策略、样本的高维性和与其他学科的融合等六个方面对聚类中近 20多个新算 法，如粒度聚类、不确定聚类、量子聚类、核聚类、谱聚类、聚类集成、概念聚类、球壳聚类、仿射聚类、数据流聚 类等，分别进行了详细的概括。(Clustering analysis is one of the important research contents in data mining. The clustering criteria are summarized. The research status and progress of five traditional clustering algorithms are summarized comprehensively. Some new clustering algorithms are used. By combing, according to the sample attribution relationship, sample data preprocessing, sample similarity measure, sample update strategy, sample high-dimensionality and fusion with other disciplines, nearly 20 new algorithms in clustering, Such as granular clustering, uncertain clustering, quantum clustering, nuclear clustering, spectral clustering, clustering integration, concept clustering, spherical shell clustering, affine clustering, data stream clustering, etc., respectively Generalization.)