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tcharall
跨平台开发时,可以在任意系统使用统一的tchar 函数。(Cross-platform development, you can use a unified tchar function in any system.)
- 2014-08-20 15:18:42下载
- 积分:1
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shiyan2
通信网实验报告 用MATLAB实现话务量的计算(Communication network traffic using MATLAB realize the calculation)
- 2013-07-25 19:49:04下载
- 积分:1
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Main_SVC_Nu
说明: matlab仿真例程,是支持向量机工具箱(matlab),可用于模式分类,模式识别 Nu_SVC二类分类算法(matlab simulation routines, support vector machine toolbox (matlab), can be used for pattern classification, pattern recognition Nu_SVC second-class Classification Algorithm)
- 2010-03-26 09:08:09下载
- 积分:1
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AfxGetApp
AfxGetApp()应用,比较简单的说明,我从网上找的。(AfxGetApp (), relatively simple explanation, I find from the Internet.)
- 2006-12-28 08:38:58下载
- 积分:1
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leach1
leach算法MATLAB仿真,程序代码详细,完全能运行(leach algorithm MATLAB simulation, detailed program code, is fully operational)
- 2013-05-14 15:36:35下载
- 积分:1
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CMathLink
说明: C程序利用Mathematica通讯机制Mathlink调用Mathkenerl的一个类.(C program using Mathematica communication mechanism Mathlink call Mathkenerl of a class.)
- 2010-04-05 01:41:38下载
- 积分:1
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Read_N_Renix
运用matlab软件进行GPS的N文件读取的matlab源代码(Matlab software using the GPS reading N matlab source code files)
- 2011-09-14 11:06:33下载
- 积分:1
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Matlab-symbolic-toolkit-introduction
matlab 工具箱介绍_各函数及算法介绍(matlab toolbox functions and algorithms described _ Introduction of)
- 2011-12-01 18:17:57下载
- 积分:1
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trajectory-analysis
Matlab编写的弹道分析算法-MATLAB源代码(Trajectory analysis algorithms written in Matlab-MATLAB source code)
- 2011-06-29 13:22:12下载
- 积分:1
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pca
这篇文章是盲信号处理,因为是英文文章,所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box. This tutorial focuses on building a solid intuition for how and why principal component
analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the
mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally,
nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers
of all levels will be able to gain a better understanding of PCA as well as the when, the how and
the why of applying this technique.)
- 2011-10-17 09:07:08下载
- 积分:1