-
synchronous
基于matlab的同步发电机模型,得到了清晰的同步发电机运行情况下的电压波形图。(Matlab-based synchronous generator model, a clear case of synchronous generators running voltage waveform graph.)
- 2021-02-27 16:49:36下载
- 积分:1
-
sobel
自编边缘提取方法,能够准确的提取边缘,编写简单。(Self-edge detection method, able to accurately extract the edge, simple to prepare.)
- 2008-04-22 09:52:15下载
- 积分:1
-
imgProcess-(2)
实现了图像的一些基本运算,包括高低通滤波(Realize the image of some of the basic operation, including high and low pass filter)
- 2014-10-16 14:27:18下载
- 积分:1
-
Matlab_sample
主要介绍matlab程序下动态数据的采集(Matlab program introduced under the dynamic data collection)
- 2013-09-22 18:23:05下载
- 积分:1
-
dea matlab
说明: 求解DEA CCR BCC 超效率 matlab程序(Solve the DEACCR BCC super efficiency matlab program)
- 2019-02-20 10:25:28下载
- 积分:1
-
ML_and_MAP
最大似然和最大后验概率算法描述,比较性能,仿真分析(Maximum likelihood and maximum a posteriori probability algorithm description, comparative performance, simulation analysis)
- 2021-01-28 17:28:39下载
- 积分:1
-
sar-filter
sar图像滤波(kuan lee)sar图像滤波(kuan lee)(sar image filtering (kuan lee) sar image filtering (kuan lee))
- 2011-05-04 16:16:40下载
- 积分:1
-
knnclassification
这是一个KNN分类器的matlab函数(K近邻分类器),可自由选择参数k(it s a KNN classifier program of the matlab ,you can chose the parameter k to conduct the classify procedure )
- 2012-06-03 20:19:44下载
- 积分:1
-
ExtractBackground
he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017.
The file extractForeground.m contains a sample function that will
perform a complete foreground segmentation for static camera video.
It uses a number of parameters, which are described in the
documentation. An attempt was made to choose sensible default values,
but they may need to be adjusted for some videos.
More generally, the implementation in extractForeground.m is only a
suggestion of how the graph-based segmentation might be used. The
same approach can be applied with other (perhaps time-adaptive)
background models. The key step is at line 113 of the code, once the
deviation array has been created. The graph-cut segmentation can be
applied similarly to a deviation matrix computed in any other way.
- 2013-11-19 23:41:02下载
- 积分:1
-
ASS1
Probability and stochastic process
- 2015-01-06 22:40:05下载
- 积分:1