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VirtualMouse_project
虚拟的鼠标控制,适合初学者用来分析源码,实际当然没有什么用,测试通过(virtual mouse control, best for those green hands. It is not applicable for those experienced programmers.)
- 2014-08-12 08:59:20下载
- 积分:1
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LFM
该程序可以用于产生LFM信号,并输出在理想和加噪情况下分别经过匹配滤波器后的结果。(The program can be used to generate LFM signal, and outputs the noise in the ideal case and processing each of the results after the matched filter.)
- 2013-12-14 15:56:00下载
- 积分:1
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VC-matlab
详细的介绍了matlab和VC++混合编程时的方法过程,对于想实现混编的同志很有帮助,希望能帮得到大家。(A detailed description of the matlab mixed programming software and other methods when programming process, for those who want to achieve mixed comrades helpful, hoping to help get everyone.)
- 2013-05-23 10:28:59下载
- 积分:1
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Monte-Carlo-simulatio
对一个使用相关器或匹配滤波器的二进制通信系统,用Monte Carlo仿真估计Pe,并画出Pe对SNR的图。(A correlator or matched filter using a binary communication system with Monte Carlo simulation estimates Pe, and Pe draw the map of the SNR.)
- 2011-10-04 10:44:48下载
- 积分:1
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gabor_Sample
使用Matlab編寫的Gabor Filter範例程式(Matlab Gabor Filter Sample)
- 2011-11-14 14:42:16下载
- 积分:1
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inherit1
有关继承函数,初学者可以作为非常不错的例子,了解语法结构(inherit )
- 2009-11-30 19:37:46下载
- 积分:1
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Threespacefractalinsert
内含三维空间中的分形插值算法源代码。双击Debug下的Fractal Example.exe文件,程序运行;双击Fractal Example.dsw文件,进入编辑环境。(3D space containing the fractal interpolation algorithm source code. Double-click the Debug Fractal Example.exe documents, operating procedures; Double-click Fractal Example.dsw documents to enter editing environment.)
- 2007-03-07 08:51:14下载
- 积分:1
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code
读入指定的音频序列,并对其进行无损预测编码和DM调制编码(Read into the specified audio sequences, and its lossless predictive coding and modulation coding DM)
- 2013-12-22 21:50:03下载
- 积分:1
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Matlab
精通Matlab与C++混合编程全书源码,非常好用,涵盖了Matlab与C++混合编程所有常用的方法(Proficient in Matlab and C++ mixed programming book source code, very easy to use, covering the Matlab and C++ mixed programming all the commonly used method)
- 2009-11-27 10:38:14下载
- 积分:1
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ChildFrm
The first scheme is based on the spatial locality of feature vectors corresponding
to similar images. Learning is effected by modifying the query vector to incorporate the
positive examples. The second scheme is based on “distorting” our view of the feature space. An
new similarity distance between an image and the query is learned from the relevance feedback.
- 2009-11-23 06:51:13下载
- 积分:1