-
pca
该代码为PCA主成分分析，可用于特征选择，选取贡献最大的前三个主成分(The code for the PCA principal component analysis, can be used for feature selection, select the largest contribution to the first three principal components)
- 2010-07-05 10:30:41下载
- 积分：1
-
RBFhsbj
人工神经网络实例，我运行结果正确。可用于RBF数值预测(Artificial neural network example, I run the correct result. Numerical forecast for RBF)
- 2010-09-09 12:42:48下载
- 积分：1
-
06387787
This paper deals with the modeling of the statistical distribution of the effective gain of terminals. This incorporates
both the characteristics of the antenna’s radiation pattern in the situation of use, and the characteristics of the local
propagation environment. A frequency-wise and frequency-correlated log-normally-distributed effective-gain model is
proposed as a standard model of wide – although not universal – validity. This is done mainly for the sake of simplicity
and ease of use. This model is tested in a few exemplary cases of measured and simulated terminals, using a subset
of the WINNER channel model for the local propagation.
- 2013-02-19 16:07:11下载
- 积分：1
-
Dijkstra
通用Matlab实现Dijkstra最短路算法(General Matlab achieve Dijkstra shortest path algorithm)
- 2013-04-15 10:12:44下载
- 积分：1
-
mbsteg_1.2
msteg watermarking matlab code implementation
- 2013-12-12 17:31:22下载
- 积分：1
-
ROI
说明： 感兴趣区域提取。根据人感兴趣的区域对图像进行裁减(Region of interest extraction. According to people interested in the process of reducing the region' s image)
- 2009-08-01 10:29:21下载
- 积分：1
-
HVDC_final
HVDC design in MATLAB/Simulink based vsc
- 2012-08-29 11:39:19下载
- 积分：1
-
SCR_ActiveCrowbar_research
利用 matlab对风力发电系统中的低电压穿越问题进行仿真，设计了有源Crowbar运行电路系统，较好的实现了低电压穿越功能。(Use matlab for wind power system simulation LVRT issues designed to run Active Crowbar circuit system to achieve a better low voltage ride through capabilities.)
- 2020-11-22 18:59:35下载
- 积分：1
-
keyboardInfo
说明： 通过MATLAB实现的小程序，创建GUI显示键盘输入源码信息(MATLAB achieved through a small program to create GUI display keyboard input source information)
- 2010-03-16 21:25:50下载
- 积分：1
-
efficientLBP
efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset
- 2014-11-27 18:53:41下载
- 积分：1
