2API_TWRP-spcs.me

该小软件可以通过输入自己的身高和体重来计算出你的BMI值，进一步衡量你的体型，是偏胖，还是偏瘦。-The small software can enter their own height and weight to calculate your BMI, measure your body further is partial fat or not.

简单密码输入框 简单密码输入框 -simple password input box si mple password input box si mple password input box SR single password input box

关于C语言学习的详细资料，可以通过资料了解编程基本思路-On the C language learning detailed information can be programmed through the data to understand the basic idea

JSP+SQLServer教务管理系统源码，双鱼林教务管理系统，jsp+servlet+javabean实现的学校教务管理系统。程序使用方法： 　　打开MyEclipse后，建立一个web工程，名称为school,将对应目录的文件复杂进去再部署到tomcat服务器上就ok了！ 　　测试帐号： 　　系统管理员帐号和密码: admin admin 　　教务管理员帐号和密码: edu edu 　　学生帐号和密码: 0319102206 123456 　　老师帐号和密码: 0319000003 123456

ALTERA上DE2平台，使用LCD模块，在LCD上显示字母字符。与已有程序相比，程序更加优化，代码更少。-ALTERA on DE2 platform, the use of LCD modules, LCD display in alphabetic characters. Compared with the existing procedures, procedures more optimized, less code.

说明：  解释TI官方雷达cfg配置文件中的分值检测(Explain the score detection in the CFG configuration file of TI official radar)

Labview tcp/ip协议实现局域网的文件传输(Labview tcp/ip protocol implementation of LAN file transmission)

example of restore db sql server

直流无刷电机双闭环DSP控制程序的完整流程以及注意事项(BLDC bouble loop design)

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.)