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mas3ph
Modelisation de la Machine Asynchrone triphase sous Matlab (programme .m)
- 2010-12-09 23:57:41下载
- 积分:1
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@hplmap
用来计算保角变换程序,可计算多角的保角变换(Used to calculate the conformal mapping procedures, Computable Polyhedrosis the conformal mapping)
- 2021-01-26 10:58:37下载
- 积分:1
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Image-Growing-and-segmentation
Segmentation by growing a region seed point using intensity mean measure
- 2014-12-04 15:49:53下载
- 积分:1
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10-4
智能控制(刘金琨版)第10章第4题课后练习MATLAB程序(Intelligent Control (Hangzhou Press Edition) Chapter 10 Homework Question 4 MATLAB program)
- 2015-04-10 09:43:45下载
- 积分:1
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SimulationofCDMATransitterAndReceiverinMatlab
matlab中的关于CDMA接收和发射的部分simulink(Simulation of CDMA Transmitter And Receiver in Matlab)
- 2009-09-17 09:12:17下载
- 积分:1
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four Toolbox for SVM
这里实现了基于四种SVM工具箱的分类与回归算法:
1、工具箱:LS_SVMlab
Classification_LS_SVMlab.m - 多类分类
Regression_LS_SVMlab.m - 函数拟合
2、工具箱:OSU_SVM3.00
Classification_OSU_SVM.m - 多类分类
3、工具箱:stprtoolsvm
Classification_stprtool.m - 多类分类
4、工具箱:SVM_SteveGunn
Classification_SVM_SteveGunn.m - 二类分类
Regression_SVM_SteveGunn.m - 函数拟合
更详细的相关函数说明请通过help命令查看!(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)
- 2007-12-19 10:42:24下载
- 积分:1
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spider_jul2406
老外开发的MATLAB支持向量机工具,由国外著名大学研究小组开发(SVM tools by MATLAB )
- 2009-10-11 17:54:12下载
- 积分:1
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mat2.2
在[0 2π]范围内绘制以Y轴为对数的二维曲线图, y=|1000sin(4x)|+1(describe )
- 2010-10-25 21:29:25下载
- 积分:1
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ICA2
Independent Component Analysis for 2 media files, matlab code
- 2009-06-16 22:36:37下载
- 积分:1
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matlab
(1) 读取n副连续有重叠部分的图像,在n副图像中检测SIFT特征,并用SIFT
特征描述子对其进行描述。
(2) 匹配相邻图像的特征点,并根据特征点向量消除误匹配。
(3) 使用RANSAC方法,确定变换参数。
(4) 图像融合
((1) Read n successive overlapping sub-part of the image, the image of the n sub-SIFT features detected and characterized using SIFT descriptors be described. (2) adjacent to the image feature point matching, and according to the feature vector to eliminate false matching points. (3) using RANSAC approach to determine the transformation parameters. (4) image fusion)
- 2013-09-15 22:40:17下载
- 积分:1