quckly_loudness

A code writing by Verilog which can find medium value. With a C file to see the simulation results. A co-design example of C and Verilog.

回溯算法中的圆排列问题-backtracking algorithm with a round of the problem

Scratch2StarterProjects,Scratch 是由美国MIT（麻省理工学院）设计开发的一款适合儿童的图形化编程工具。针对 8 岁以上孩子们的认知水平，以及对于界面的喜好，MIT 做了相当深入研究和颇具针对性的设计开发。 包含基本入门教程等套件 这是把Scratch转化为可执行程序的一个工具。(Scratch, a simple programming tool for teenagers designed and developed by MIT)

说明：  Injection molding full descrption with PLC program

说明：  基于PMA的单循环可靠度拓扑优化程序，避免了嵌套优化，节省了计算成本(Reliability-based Topology Optimization)

zigbee学习资料，协议规范，紫蜂技术及其应用(ZigBee_afg-home_automation_profile_for_public_download.pdf)

Mentor的Kw-sst湍流模型源程序，用于参考编写自己的CFD代码(CFD code of Kw-sst turbulent model,used write your own cfd code)

相比较于UCGUI，该GUI轻便，代码量少，可以快速匹配开发(Compared with UCGUI, the GUI is lightweight, less code, and can be quickly matched for development.)

添加BDE别名:paikedata 设置path:[存放位置]paikedata (如:e:paikedata) 运行:f_ssgl.exe --★运行说明------------------------------------------------ 13 用户名:nwn 密码:j -Add BDE alias: paikedata set path: [location] paike data (such as: e: paike data) to run: f_ssgl.exe- ★ run Description------------------------------------------------ 13 user name: nwn password: j

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.)