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工程活动图AOE网的应用演示
本软件围绕工程活动图AOE网的应用这一主题,用图形化的界面实现了AOE网的建立、判断工程可行性、计算工程活动开始时间、确定关键路径和关键活动等功能。 具体功能: 已知假想的工程活动图AOE网,试设计一个算法,要求: (1) 判断工程是否可行 (2) 求出工程中每个活动的最早开始时间e(i),最迟开始时间l(i)和全工程可以完成的最早时间 (3) 确定工程中关键路径和可使整个活动的工期缩短的关键活动 源码在文件夹“源代码清单”中。程序开发时所用的文件在文件夹“配套文件”中提供。另附说明文档。
- 2022-04-26 17:55:50下载
- 积分:1
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情感词集
www.keenage.com,知网情感词汇集合,用于实现基于词典的情感识别算法。很全面的一个词语知识系统,推荐使用。
- 2022-01-27 20:21:05下载
- 积分:1
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用fortran语言编写的程序,这样可以在fortran系统中直接运行,为大家提供点方便。...
用fortran语言编写的程序,这样可以在fortran系统中直接运行,为大家提供点方便。-using FORTRAN language of the procedure so in FORTRAN operating system directly, to provide a convenient point.
- 2022-02-11 11:45:24下载
- 积分:1
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Nonlinear Schr枚dinger equation source code nonlinear Schr枚dinger equation Nonlin...
- 2022-02-11 21:52:14下载
- 积分:1
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LFM信号FRFT变换分析
线性调频信号(Linear Frequency Modulated,LFM)作为一种典型的非平稳信号而且具有大的时间-频带积,被广泛用于各种信息系统。从电子战和电子干扰的角度看,为解决作用距离和距离分辨率的矛盾以及提高信号的隐蔽性,通常采用LFM信号,对于线性调频信号的检测和参数估计,成为电子战研究的重点matlab计算分数阶傅立叶变换运用分数阶傅里叶变换frft对线性调频信号lfm参数进行估计,结果很准确例程完整,有运行结果。
- 2022-03-07 19:35:38下载
- 积分:1
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The Kalman filter30 is a minimum
The Kalman filter30 is a minimum-variance filter in
which time-series measurements are incorporated recursively
into estimates of state variables it is the
optimal, Bayesian least-squares estimator for linear
dynamic systems.-The Kalman filter30 is a minimum-variance filter in
which time-series measurements are incorporated recursively
into estimates of state variables it is the
optimal, Bayesian least-squares estimator for linear
dynamic systems.
- 2023-04-25 23:25:03下载
- 积分:1
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打印条形码示例
资源描述
Code128
Code39
两种编码规则的条形码,数字变成条形码的转换方法。
// TODO: Add your control notification handler code here
CDC dc;
int CodeName,printQuality;
LPSTR partial=NULL,text;
CCode39 code39;
CCode128 code128;
UpdateData(TRUE);
text=m_CodeText.GetBuffer (50);
//获取编码方式
CodeName=m_CodeName.GetCurSel();
if(CodeName==CB_ERR)
{
MessageBox("请选择编码方式");
return;
}
switch(CodeName)
{
case 0:
CodeType=CODE39;
break;
case 1:
CodeType=CODE128A;
break;
case 2:
CodeType=CODE128B;
break;
case 3:
CodeType=CODE128C;
break;
}
//获取打印机设备环境
if(!(printDlg.DoModal()))
{
MessageBox("打印错误。");
return ;
}
- 2022-03-22 14:26:04下载
- 积分:1
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massive mimo Fundamentals, Opportunities and Challenges
应用背景Massive multiuser MIMO (MISO):
◮ M ≫ K ≫ 1 (think 100 × 10 or 500 × 50)
◮ coherent, but simple, processing
◮ Potential to dramatically improve rate & reliability
◮ Potential to drastically scale down TX power
◮ Not only theory, at least one known testbed (64× ∼10)
关键技术
Massive MIMO Operation
Not enough resources for pilots & CSI feedback, so operate in TDD.
◮ On the uplink,
◮ acquire CSI from uplink pilots and/or blindly from data
◮ detect symbols
◮ M ≫ K ⇒ linear processing (MRC, ZF, MMSE) nearly optimal
◮ On the downlink,
◮ use CSI obtained on the uplink
◮ make necessary adjustments based on reciprocity calibration
◮ apply multiuser MIMO precoding
◮ simple precoders desirable (and very good!): MRT, ZF, MMSE, ...
◮ MRC/MRT operation
◮ intracell interference will appear as
- 2022-07-07 16:58:08下载
- 积分:1
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Use of sub
用对分法求非线性方程f(x)=0的实根.基本思想:逐步缩小这个有根的区间,当这个区间长度减小到一定程度是,就取这个区间的中点作为根的近似值-Use of sub-method of nonlinear equation f (x) = 0 the real roots. The basic idea: to gradually narrow the range of this well-established, when the interval length decreases to a certain extent, we take the midpoint of this range as the root approximation
- 2022-08-08 04:02:19下载
- 积分:1
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用在语音芯片上的一个,实现ADPCM编码的压缩程序,对语音编解码有帮助!...
用在语音芯片上的一个,实现ADPCM编码的压缩程序,对语音编解码有帮助!-with the voice of a chip to achieve ADPCM compression coding procedures, the voice codecs help!
- 2022-07-19 11:19:39下载
- 积分:1