7-2-1-16-25

工程领域中的格子波尔兹曼方法，很经典的书籍，内含较多的代码(Engineering fields Lattice Boltzmann Method, classic books, containing more code)

说明：   导航地图数据模型研究现状与趋势(Navigation Map Data Model Status and Trends)

说明：  SAR图像斑点噪声抑制方法与应用研究，里面给出里处理Sar 影像的算法(SAR image speckle noise reduction methods and applied research, which is given to deal with Sar Imaging Algorithm)

Interaction of Retransmission, Blacklisting, and Routing Metrics for Reliability in Sensor Network Routing powerpoint

applet ant colony classification

说明：  一个开店必备文档，里面有全国的商品批发资料，很全的。(Must document a shop, which has the country' s wholesale information is complete.)

enhanced DEEC matlab code for WSN

说明：  图像处理，压缩感知中ROMP的代码实现。(Image processing, compression-aware in the ROMP of code to achieve.)

针对STK（Satellite Tool Kit）软件在军事任务可视化仿真领域中的广泛应用，为充分挖掘 其显示潜能，重点解决了影响其三维场景构建的瓶颈问题，即三维场景数据格式的转换和数据的获取 优化。在分析构建STK 三维场景所需要素及其作用的基础上，分别对地形、地表纹理、三维模型和GIS 等四类数据格式进行分析，并利用多种辅助软件，系统地提出了由较通用格式数据向STK 所支持格式 数据的转换方法，以及在对各类原始数据的获取和转换过程中出现的问题进行处理的优化方法。最后通过实例验证表明该数据格式转换方法和数据优化方法行之有效，三维场景显示效果逼真。(STK (Satellite Tool Kit) software widely used in the field of military tasks, visual simulation, to fully tap its display potential, focus on resolving the bottlenecks that affect the construction of the three-dimensional scene, 3D scene data format conversion and data Get optimization. On the basis of the required elements and their role in the analysis of building STK three-dimensional scene analysis, respectively, of the four types of terrain, surface texture, three-dimensional model and GIS data format and use a variety of assistive software, the system proposed by the more common format The data support the format of the data to STK conversion method, as well as access to various types of raw data and conversion process issues deal with the optimization method. Finally, an example to show that the data format conversion method and data optimization method is effective, realistic three-dimensional scene display.)

说明：  Recent advances in the relevant technologies of contemporary wireless sensor nodes has motivated a growth in the deployment of wireless sensor networks (WSN) for commercial, non-commercial and research applications. In the aforementioned applications, it is often prudent to frustrate unauthorised wireless communications with WSN nodes.