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B3g_phase2
B3g_phase2_C语言_Matlab程序及说明(_Matlab Procedures and B3g_phase2_C language description)
- 2007-09-07 10:22:52下载
- 积分：1
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MATLAB_Code
学会怎样快速高效的进行matlab编程，这篇文章说明了怎样把任何一种矩阵转换成行向量，比较实用(Learn how to fast and efficient conduct of matlab programming, this article explains how to convert any kind of trip matrix vector, more practical)
- 2007-09-07 10:55:11下载
- 积分：1
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dataRead
该matlab程序包实现从Ocean Optics s2000型号的光谱仪采集数据文件中读取数据，并对采集数据进行背景去除，提取特定波段的数据绘制光谱图(The matlab package implement reading data file made by Ocean Optics s2000 spectrometer , and remove the background collecting data, extract a specific band spectra data mapping)
- 2009-04-27 21:18:45下载
- 积分：1
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lab_works
this is code used for the image histogram equilization
- 2010-11-03 05:56:29下载
- 积分：1
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PMSM1
This is my simulation of PMSM. Hope you can edit and use it to your exercise. It is not actually correct but I think it will be useful for you.
- 2013-11-07 23:02:30下载
- 积分：1
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im_correl
Filter im_correl for procesing images
- 2010-12-31 22:44:53下载
- 积分：1
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twoSpk_unsupervised
无监督的两个说话人的语音分离程序。matlab/C混合编程，有说明文档，可直接使用，搞语音分离的可以下载看看。(Unsupervised speech separation for two speaker. Matlab/C mixed programming, there are documentation, can be used directly, and engage in voice separation can download to see.)
- 2020-09-17 17:17:56下载
- 积分：1
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doppler
多普勃效应因子与表观时间和表观长度,网上是要花钱买的，(Multi-factor and the apparent effect of普勃time and the apparent length, the Internet is to spend money, and)
- 2008-12-30 12:06:33下载
- 积分：1
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work
matlab 关于association rule 的自己写的函数，有3个文件,
association.m：h = association(m, i, j)
i=>j, m是数据，h是support和confidence，该函数只适用于单个数据
ass_item: h=ass_itset(m, a, b)
同上，但是可用于多个数据（m为数组）
assrule: h = assrule(m, threshold1, threshold2)
该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence
(matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data
ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix)
assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)
- 2009-12-15 02:51:44下载
- 积分：1
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A-Guide-to-MATLAB-for-Beginners-and-Experienced-U
Matlab book for student
- 2012-07-02 15:05:48下载
- 积分：1
