资源列表
ewb
- EWB的实习报告 1 熟悉Multisim9的基本操作。 2 学会利用Multisim9进行电路的设计与仿真，掌握一定的电路测试方法。 3 通过实习，能在Multisim9虚拟平台中设计简单的模拟电路及数字电路，并利用虚拟仪器及软件提供的分析方法，对电路进行仿真 -EWB internship report, 1 familiar with the basic operation Multisim9. 2 Institute of Multisim9 carried out us
Part3
- 爱立信WCDMA无线接口,Part 3 CDMA Capacity Considerations-Ericsson WCDMA radio interface, Part 3 CDMA Capacity Considerations
networks
- 计算机网络复习资料，有讲解，有题目，题目有答案-Review information on computer networks, there are explanations, there is the subject of the topic is the answer
datastruct
- 数据结构复习资料，有讲解，有题目，题目有答案-Review the information data structure, there are explanations, there is the subject of the topic is the answer
c
- C语言复习资料，有讲解，有题目，题目有答案-C language refresher information to explain, there are topics, the topic is the answer
CVS-for-the-developer-or-amateur
- 1.Tutorial tips 2.CVS for general users 3.CVS for developers 4.Wrapup -1.Tutorial tips2.CVS for general users3.CVS for developers4.Wrapup
icestorm
- 一个icestorm的例子.ice是一个开源的中间件,性能好,易使用-A icestorm example. Ice is an open source middleware, performance good, easy to use
AMethodofDataFusionSystemforFaultDetection
- 这是故障诊断的较新的研究成果，有很好的参考价值，与各位分享，仅作参考，切勿用作商业目的。-This is the fault diagnosis of a relatively new research results, have a good reference value, to share with you, only for reference, not for commercial purposes.
algorithm
- 南京大学陈道蓄教授的算法课件，内部资料，希望大家喜欢-Nanjing University Professor Chen Daoxu algorithm courseware, internal information, I hope you like
imagemosic
- 针对基于图像特征点的配准方法中对应特征对难以准确提取的问题,提出一种基于兴趣 点匹配的图像自动拼接方法。该方法首先利用Harris角检测器提取两幅图像中的兴趣点,并在此基 础上采用比较最大值法提取出对应兴趣点特征对,最后利用这些匹配特征对来实现图像的拼接。实 验结果表明,这种方法能有效地去除伪匹配特征对的干扰,同时降低了误匹配的概率-Feature points for image-based registration method of the corresponding char
chapter05
- 介绍图书管管理系统的UML怎样做 是我们能够绘画用例图-Library Management System, introduced the UML is that we can do painting Use Case Diagram
imagingmosaicking
- 一种基于信息熵和灰度相关的全景重叠图拼接算法。该算法综合了基于灰度相关和信息熵的优点。 通过匹配连续区域的熵的兰氏距离获得了比较精确的定位 -Based on information entropy and gray related overlapping map panoramic stitching algorithm. The algorithm based on a combination of gray and information related to the merits