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suanlichengx
包括四个MATLAB的基本算例程序，实用安全放心
(Includes four basic example MATLAB program, practical security assured)
- 2010-08-21 15:31:09下载
- 积分：1
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fdxx
该程序实现灰度图像分段线性变换，Matlab实现(Gray-scale image of the process to achieve sub-linear transformation, Matlab to achieve)
- 2009-04-28 08:49:34下载
- 积分：1
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edge_ACO
基于蚁群算法的改进进行边缘检测，改方法可行，并且速度快，与传统算法进行比较。(Based on improved ant colony algorithm for edge detection, change the method is feasible, and fast, with traditional algorithms were compared.)
- 2014-12-22 17:53:49下载
- 积分：1
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image
图像去噪声，图像中有噪声，可去除噪！！！！！！！！！！(image remove noise
)
- 2009-09-16 17:08:43下载
- 积分：1
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influenceOfWrongReportInCognitiveRadio
说明： 引入错误报告概率对协作检测的影响仿真程序(Influence Of Wrong Report In Cognitive Radio)
- 2009-07-28 20:17:56下载
- 积分：1
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LMS-and-RLS-algorithm--(CDMA)
LMS and RLM code in matlab simulate in MUD CDMA system.
- 2014-03-13 12:19:21下载
- 积分：1
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MIMRF-master
说明： 每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。
多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)
- 2021-03-27 10:59:12下载
- 积分：1
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GUIdemo
Hi I am a student an best regard for you.
- 2013-01-03 00:55:08下载
- 积分：1
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pso
PSO for beginner propose to minimize f(x)=100(x2-x12)2 + (x2-1)2
- 2011-08-03 11:45:26下载
- 积分：1
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xiaobo
这篇文章最近看的觉得挺有用的，希望能对做这方面的朋友有所帮助！(Read this article recently that Tingyou use, hoping to make friends in this area help!)
- 2011-05-31 21:26:39下载
- 积分：1
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