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Basics.Of.MATLAB.And.Beyond
A matlab file for the beginners which is very useful
- 2011-01-29 14:33:39下载
- 积分:1
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MATLAB
matlab在时间序列中的应用,很全,希望能对大家有用(matlab in the application of time series, it is all in the hope that useful)
- 2011-05-08 16:15:53下载
- 积分:1
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MATLAB_Program
图像处理的偏微分方程方法程序,有图像的分割,增强等程序,里面的有程序运行,所需要的图片,视频非常好用!(Method of partial differential equations of image processing procedures, image segmentation, enhancement program, which are run, the required pictures, video is very easy to use!)
- 2011-10-08 18:31:34下载
- 积分:1
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huiseyuce
灰色预测能够用很少的数据加以预测,是统计的重要方法(The gray prediction can be predicted with very little data, statistics)
- 2012-08-21 02:25:45下载
- 积分:1
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OMP24x12
利用空调调制信号本身固有的稀疏特性和压缩感知信号重构算法的MATLAB代码。(The use of air conditioning modulation signals inherent characteristics and compressed sensing sparse signal reconstruction algorithm MATLAB code.)
- 2016-06-18 20:26:56下载
- 积分:1
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CFAloc
cfa算法,基于CFA插值特征的图像篡改检测的matlab代码(cfa algorithm,Image tamper detection based on CFA interpolation features matlab code)
- 2020-11-23 09:59:35下载
- 积分:1
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guanlian
MATLAB仿真60个目标直线运动,采用基于航迹隶属度的航迹关联算法仿真目标正确关联概率(60 targets ,the correct probility of the algrithm based on track )
- 2021-05-13 20:30:02下载
- 积分:1
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kpca1
KPCA 的基本思想是将数据从输入空间映射到高维特征空间,然后在特征空间利用线性主成分分析方法计算主成分。本程序是KPCA的源程序,可实现调用。对于初学者或许有帮助。(The basic idea of KPCA is to map the data from the input space to high dimensional feature space, then in the feature space using principal component analysis method to calculate the linear principal components. This program is the source KPCA can achieve call. May be helpful for beginners.)
- 2011-10-20 15:57:30下载
- 积分:1
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cor_etat_s
simulation sous matlab/simulink d un correcteur d etat
- 2012-02-04 20:07:51下载
- 积分:1
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MUSIC
采用MUSIC方法的白噪声频率检测仿真
白噪声中单个正弦信号的频率检测与估计
白噪声中多个正弦信号的频率检测与估计
(MUSIC method using white noise white noise simulation of the frequency of detection of a single frequency sinusoidal signal detection and estimation of white noise in the frequency of a number of sinusoidal signal detection and estimation)
- 2009-05-12 22:59:33下载
- 积分:1