LatticeXP_V1.zip 官方资料 LatticeXP_V1.zip 官方资料

这是一个和跨文化交际有关的文章，很不错，可以学习用，可以找到一些我们的缺点，出国什么都会小心了~`-This is a cross-cultural communication and the article quite good, and can learn from, we can find some shortcomings, what will be going abroad to beware

D-SIE教程第3部分，共分四部分，SIE讲义-D-SIE Guide Part 3, is divided into four parts, SIE overhead

对于想学习C语言的初学者很有帮助 对于想学习C语言的初学者很有帮助 对于想学习C语言的初学者很有帮助-C test

visual c++串口通信工程开发实例导航-visual c++ serial communication engineering development examples Navigation

设计模式与JAVA的书籍-design pattern books and JAVA

[Cython]是基于 Python，用额外的语法允许为可选的静态类型声明的编程语言。它的目标是成为[Python]语言给它高级别的、 面向对象的功能和动态编程的一个超集。源代码中获取转化为优化 C/c + + 代码和编译为 Python 的扩展模块。这允许执行非常快速的程序和与外部的 C 库，同时保持的 Python 语言是众所周知的高程序员生产力的紧密集成。

源码公开的TCP/IP 协议栈在远程监测中的应用。介绍一个适用于8/16 位单片机的嵌入式TCP/IP 协议栈（uIP ） 在发电机远程监测系统中的应用。 重点阐述u I P 的功能特性、体系结构和相关接口，并详细介绍如何在该协议栈上实现一个嵌入式 Web 服务器。目前uIP 已成功地移植到51 单片机上-Open-source TCP/IP protocol stack in the remote monitoring application. To introduce one for 8/16-bit single-chip embedded TCP/IP protocol stack (uIP) in the remote monitoring of generator systems. U IP focuses on the functional characteristics, architecture and related interfaces, and details on how the protocol stack to achieve a built-in Web server. UIP currently have been successfully transplanted into 51 single-chip on

一种基于贝叶斯理论的目标验证方法。 提出了一种验证图像中候选目标的新方案. 综合目标的先验知识,将目标验证转化为给定候选目标的条 件下,图像特征观察集合的条件概率问题. 同时,提取图像的短线段特征,利用短线段特征的观察,给出了一种目标 验证方法排除复杂场景图像中虚假建筑物目标. 在自然图像集上进行的实验表明,所提出的方法能有效排除虚假 目标,满足处理自然图像的要求.-Based on Bayesian theory the goal of authentication methods. A candidate for the target image to verify the new program. Comprehensive prior knowledge of the target, the target to verify the candidate into a given target under the conditions of image feature observe the collection of conditional probability problems. At the same time, extract the image characteristics of short-paragraph the use of short-term observation of the characteristics above, given a goal of authentication method to exclude false images of complex scenes building goals. Set in the natural image experiments show that the proposed method can effectively rule out the possibility of false targets, to meet the deal with natural images requirements.

swi-205基于JAVA技术的WEB应用开发pdf.rar ibm认证考试的官方辅导材料，很好用，按着考纲写的。-java web development swi-205

SURF算法是继SIFT算法后的又一图像不变特征检测算法，除了具有SIFT算法稳定高效的特点外，还极大的降低了SIFT算法复杂度，大大提高了特征检测和匹配的实时性。这里上传的SURF算法的实现源代码-An interest point detection scheme is presented that is comparable in quality to existing methods, but can be performed much faster. The detection is based on a straightforward color analysis at a coarse granularity.Testing confirms that this detection scheme is much faster than the state-of-the-art. It is also repeatable, even under different viewing conditions. The detector is robust with respect to changes in viewpoint, lighting, zoom, and to a certain extent, rotation.