-
qykhglxt
说明： It can easily input new information such as new projects, new customers, etc., and manage some fund settlement clearly. Because of its powerful function, users can publish articles on the system and let employees submit work plans or work reports. Strengthen the working efficiency of enterprises and improve the strength of enterprises
- 2020-03-10 21:04:18下载
- 积分：1
-
PMSM_yousudu
为了在现代异步电机高性能调速系统中实现磁链的准确观测，提出了一种基于模型参考方法的自适应转子磁链观测器。PMSM(Primary system file for the Real Implementation of Sensored Field Orientation Control for Three Phase Permanent-Magnet Synchronous Motor (PMSM) )
- 2021-04-03 14:39:05下载
- 积分：1
-
simple_web_browser
source code for a very simple web browser!
- 2009-03-18 08:03:24下载
- 积分：1
-
五子棋
说明： 基于EGO1开发板的VGA显示小游戏五子棋(This is a game for you and your friends to play in Ego1(Xilinx board) just with VGA.)
- 2021-01-06 00:18:53下载
- 积分：1
-
用MATLAB生成FIR滤波器系数
frmGoodsInventory.designer
用MATLAB生成FIR滤波器系数后，用C#语言，在上位机演示及实现FIR滤波器(After the FIR filter coefficients are generated by MATLAB, the FIR filter is demonstrated and implemented on the host computer in C # language)
- 2020-06-25 06:40:01下载
- 积分：1
-
PHPEMS在线模拟考试系统源程序 v5.0
PHPEMS在线模拟考试系统源程序，主要用于构建在线考试系统，如驾照、英语等练习系统。
运行环境为php(5.2,5.3)+mysql5.0，
前台地址：
域名/index.php
后台地址：
域名/index.php?core-master
默认管理员：
用户名：peadmin
密码：peadmin
- 2022-09-17 06:45:04下载
- 积分：1
-
ScreenSvr_ExplodingFlower
Screen Saver source code in vb. An exploding flower saver.
- 2013-07-15 12:44:24下载
- 积分：1
-
MAPX中如何控制缩放度
MAPX中如何控制缩放度-Connection control zoom degrees
- 2022-02-26 13:10:58下载
- 积分：1
-
Stoch power hedger
说明： Stoch Power Hedger Expert Advisor
- 2020-06-24 04:00:02下载
- 积分：1
-
盲源分离
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.)
- 2021-03-08 10:09:29下载
- 积分：1
