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智睿ASP网络投票评选管理系统 v10.2.4
智睿网络投票评选管理系统可广泛用于城市评癣风景区评癣优秀人物等活动评选，以及先进事迹评选等。管理后台登陆:admin/admin_login.asp 帐号：admin 管理密码：123456 认证码: zhirui
配置文件/include/config.asp
数据文件/include/conn.asp
智睿网络投票评选管理系统20160726更新：
1、优化投票记录加载
2、优化管理日志加载
- 2022-01-31 00:28:33下载
- 积分：1
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万年历
用C语言写的一个万年历超级超级简单的万年历(This is a very very simple Perpetual calendar written by the C language)
- 2019-01-02 15:17:54下载
- 积分：1
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ETAP4节点系统仿真
说明： ETAP电力系统仿真平台汇总搭建的4节点系统故障仿真模型(4-node system fault simulation model built up by ETAP power system simulation platform)
- 2020-06-25 00:40:02下载
- 积分：1
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remote retail billing system
remote retail billing system
- 2023-04-24 23:05:04下载
- 积分：1
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enfcm
实现ENFCM图像分割(Realization of ENFCM image segmentation)
- 2020-11-21 16:59:35下载
- 积分：1
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这里提到的方法大家可以实验，大家一起讨论！
这里提到的方法大家可以实验，大家一起讨论！-here is the way we can experiment, we can discuss!
- 2022-07-27 18:50:06下载
- 积分：1
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POD_DMD-master
pod dmd分析，用于CFD计算分析，模态分析，降阶分析(Pod dmd analysis ,computational fluid dynamic post-analysis, model analysis for flow field model)
- 2021-05-13 04:30:02下载
- 积分：1
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An open source Human resource system that is used for medium
An open source Human resource system that is used for medium - sized companies. -An open source Human resource system that is used for medium- sized companies.
- 2022-11-21 15:15:03下载
- 积分：1
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vb_SQL_excel
利用vb开发环境连接wincc数据库，将wincc运行的数据导入excel中(SQL excel VB WINCC ADODB.Connection recorderset.Open AdoSql, Connection, adOpenDynamic, adLockOptimistic)
- 2012-10-23 15:44:44下载
- 积分：1
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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
