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Kalmanfilter
Kalman Filter : Simple simulink example
- 2010-06-05 13:36:17下载
- 积分：1
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fungsi_1
Function to do scan type one
- 2010-01-13 21:50:07下载
- 积分：1
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twoselect
二个下拉列表关联二个下拉列表关联二个下拉列表关联(二个下拉列表关联二个下拉列表关联二个下拉列表关联二个下拉列表关联)
- 2010-02-09 15:00:38下载
- 积分：1
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project
This is an hardware project.
- 2011-01-24 14:32:16下载
- 积分：1
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baidongshai
摆动筛，物体左移、右移、跳跃条件，k线，曲线图(Were screening
)
- 2011-07-07 09:26:55下载
- 积分：1
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Gradientface
梯度脸，人脸识别光照处理，解决不同光照下的人脸识别(Gradientface: for face recogntiion under varying illumination)
- 2011-10-26 10:46:49下载
- 积分：1
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daxunhun12
一个求经验欧式似然统计量及pearson统计量的matlab程序(matlab application of account for test)
- 2011-11-02 21:53:39下载
- 积分：1
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yy
说明： 为实现跳频与扩频的仿真研究而编写的MATLAB程序(Realization of frequency hopping spread spectrum and simulation research
)
- 2013-04-26 13:16:13下载
- 积分：1
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comVision
图片印刷字符的识别（可识别多种字体）
将Matlab工作空间路径设置为本文件夹
在Matlab命令窗口内输入：
numCongnition( able1/01.jpg )
通过改图片来对不同的图进行处理，其中able1,able2,able3三个文件夹分别对应三种字体
命令窗口输出要识别的字符，并且自动弹出中间处理过程窗口
也可以运行：
num = pretreat( able1/01.jpg )
imshow(num)
直接得到预处理后的图片
再键入：
getNumber(num)
得到字符输出
(Set the Matlab workspace path to this folder
In the Matlab command window input:
NumCongnition ( able1/01. JPG)
Through change pictures to deal with different figure, including able1, able2, able3 three folders corresponding to three kinds of fonts
Command window output to identify characters, and automatically process among popup Windows
Can run:
Num = pretreat ( able1/01. JPG)
Imshow (num)
Directly after preprocessing of images
Type:
GetNumber (num)
Get the output character)
- 2014-02-17 16:37:48下载
- 积分：1
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IMAGEETRACT
利用Matlab提取图片中的数据
从事科研或者工程的人员在文档撰写过程中，常需要将文献中的曲线与自己的结果对比，为获取原始数据，一种常用的办法是手动描点，即将原始曲线放大然后打印出来，选取一定数量的点，读出其横纵坐标，然后重绘。对于较为平坦的曲线，这种方法当然可行，但当曲线数量增加，曲线变化复杂，这种方法工作量可想而知。前段时间由于原始数据丢失，仅剩几十幅图片，本人尝试过手动描点，经历几个小时奋战，实在无法继续，索性转向matlab，借助其强大的数据处理能力，编写了两个GUI的小软件image2data、data_poly提取数据，如今大功告成，遂于大家分享。(Using Matlab to extract picture data in scientific research or engineering personnel in the process of writing documentation, often need to curve in the literature comparing the results to obtain the original data, a common approach is described in the manual, is about the original amplification curve and then print it out, select a certain number of points, read out its horizontal and vertical coordinates, and then redraw. For a flatter curve, this approach is of course possible, but when the increase in the number of curves, the complexity of the curve, this method can imagine the workload. Some time ago due to the loss of original data, except for the dozens of pictures, I tried manually tracing point, after several hours of fighting, I can not continue to simply turn to Matlab, with its powerful data processing capabilities, the preparation of two GUI software image2data, data_poly extract data, and now you' re done, then share with you.)
- 2021-02-01 11:00:00下载
- 积分：1
