tsne_python

说明：  这是我学生利用Lattice Boltzmann method 做的三个工作,可以用来模拟多孔介质渗流问题(This is my students to use the Lattice Boltzmann method to do the three work, can be used to simulate the problem in Porous Media)

说明：  模拟激光束交叉能量转移,利用python语言(simulation CBET. it is very useful)

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

说明：  上传程序为衍射问题数值计算的matlab源代码(Upload program is matlab source code for numerical calculation of diffraction problem)

用c++做的汽车4s店销售系统（mfc） 录入查询库存预定等功能模块 头文件中定义 class CAutomobile4SshopDlg : public CDialog 头文件中定义class sale : public CDialog class service : public CDialog class storage : public CDialog class guanli : public CDialog 分别作销售，服务，库存，管理功能模块函数体调用 #define IDM_ABOUTBOX 0x0010 #define IDD_ABOUTBOX 100 #define IDS_ABOUTBOX 101 #define IDD_AUTOMOBILE4SSHOP_DIALOG 102 .....宏定义为函数体调用(Using c++ to do car 4s shop sales system (mfc) Input query inventory reserve and other functional modules Header file defines class CAutomobile4SshopDlg: public CDialog Header file defines class sale: public CDialog class service: public CDialog class storage: public CDialog class guanli: public CDialog Respectively, for sales, service, inventory management function module calls the function body # define IDM_ABOUTBOX 0x0010 # define IDD_ABOUTBOX 100 # define IDS_ABOUTBOX 101 # define IDD_AUTOMOBILE4SSHOP_DIALOG 102 Defined as a function of the body ..... macro call)

说明：  水声信道仿真程序。用于水下声信道的仿真。(underwater acoustic channel simulation program. for underwater acoustic channel simulation.)

html5结合jquery hover实现的图片悬停放大特效，根据冒泡事件实现的悬停放大，在排列成“心”形的照片墙上，鼠标悬停于任意一张头像图片后，该图片即可放大显示，此类效果在HTML5的页面中，利用相关属性来实现，是挺容易就实现的，本次果演示如截图所示。

常用的盲分离算法有二阶统计量方法、高阶累积量方法、信息最大化（ Infomax ）以及独 立成分分析（ ICA ）等。这些方法取得最佳性能的条件总是与源信号的概率密度函数假设有关， 一旦假设的概率密度与实际信号的密度函数相差甚远，分离性能将大大降低。本文提出采用 核函数密度估计的方法进行任意信号源的盲分离，并通过典型算例与几种盲分离算法进行了 性能比较，验证了方法的可行性。(The commonly used blind separation algorithms include two order statistics, higher order cumulants, and maximization of information Infomax) and independent component analysis (ICA). The conditions for obtaining the best performance of these methods are always related to the hypothesis of the probability density function of the source signal. The separation performance will be greatly reduced when the assumed probability density is very different from the density function of the actual signal. In this paper, a method of kernel function density estimation for blind separation of arbitrary signal sources is proposed. The performance of several blind separation algorithms is compared with some typical examples, and the feasibility of the method is verified.)

关于命令行使用的经典C代码-on the command line using the classic C code

说明：  探讨无源时差定位情形下，星形，菱形，倒三角形布站方式对于定位精度的影响。主要讨论主站高度，目标高度，目标距离，站间距对于定位精度的影响。(This paper discusses the influence of star, diamond and inverted triangle station layout on location accuracy in passive TDOA location.)