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6.fiber-laser
《高等光学仿真》MATLAB源程序第六章高功率光纤激光器(" Advanced optics simulation" MATLAB source high power fiber lasers Chapter VI)
- 2013-08-23 18:04:42下载
- 积分:1
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My-recordwave
用信号发生器产生的信号,用屏幕录像专家录的声音,用频谱分析仪打开做时域频域分析时可以很好的检测出来(Signal with a signal generator, with the voice recording screen video experts, open to do with the spectrum analyzer frequency domain analysis of time-domain can be detected well)
- 2011-11-04 10:39:01下载
- 积分:1
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MATLAB-selfstudy
matlab的自学教程,很基础的东西,好理解(matlab self-study tutorial, very basic things, a good understanding of)
- 2013-05-24 16:12:31下载
- 积分:1
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planevoice2.rar
一个端点检测的程序,用于语音处理,是用matlab编写的,希望相关专业的朋友可以分享(An endpoint detection procedure, used for voice processing, is to use matlab prepared, I hope the relevant professional friends to share)
- 2007-10-08 08:30:02下载
- 积分:1
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supn
该文件可以让您的c从入门到真正的精通(在supn中)(from this file,you can learn a lots about c program in uspn)
- 2009-12-03 08:36:56下载
- 积分:1
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THREE_1D_FEM
三个一维的matlab有限元程序,可以参考(Three one-dimensional finite element program matlab, you can refer to)
- 2014-09-10 09:13:36下载
- 积分:1
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MATLABRESULT_IN_VB_PICTURE_CONTROL
matlab绘图结果在VB的picture控件中显示(matlab drawing the results of the picture controls in VB to display)
- 2008-01-13 13:46:33下载
- 积分:1
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Direct_Sequence_Spread_Spectrum
这是关于直接序列扩频通信系统的DS-CDMA方式的仿真设计,系统主要分为发送机和接收机两部分,包括17个可用于SIMULINK仿真的S-FUNCTION代码M文件,和一个MATLAB源程序的DOC文件,程序都有详细的注释。(This is a direct sequence spread spectrum communication system on the DS-CDMA mode simulation design, the system can be divided into two parts, transmitter and receiver, including 17 for the S-FUNCTION SIMULINK simulation of M code files, and a MATLAB source code The DOC file, the program has detailed notes.
朗读
显示对应的拉丁字符的拼音
字典- 查看字典详细内容名词0.directness0.immediacy形容词0.direct0.immediate0.first-hand0.plump副词0.straight0.right0.slap
)
- 2010-12-02 15:52:09下载
- 积分:1
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hough
说明: MATLAB写的Hough变换的程序,希望对大家有帮助。(Hough Transform MATLAB written procedures, and they hope to help everyone.)
- 2009-08-01 17:50:28下载
- 积分:1
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kmedian
The method works as follows.
1. For a data set with dimensionality, d, compute the variance
of data in each dimension (column).
2. Find the column with maximum variance call it cvmax
and sort it in any order.
3. Divide the data points of cvmax into K subsets, where K is
the desired number of clusters.
4. Find the median of each subset.
5. Use the corresponding data points (vectors) for each
median to initialize the cluster centers.
- 2013-08-10 03:45:31下载
- 积分:1