xindianxinhao

说明：  Calculation of digits

个详细的ping程序阅读报告,包括流程图和详细的代码注释()

python核心编程书籍,适合小白入门的一本书强烈推荐(Python core programming books)

ARCGIS程序， 基于ArcGIS平台 用于测试面（如行政区）是否重叠-teset polygon is overlap or not

说明：  通过按键控制舵机转动精确到一度，利用角度传感器反馈，角度显示在LCD1602上(The steering gear is controlled to one degree by keys, and the angle is displayed on LCD1602 by feedback from angle sensor.)

说明：  元器件识别培训和参考指南是员工培训和快速参考的宝贵工具。这种用于电子组装操作者和检验员的综合元器件识别资源包含当今电子组装中常用的通孔和表面安装元器件的彩色照片、计算机制图、原理图符号以及详细描述。(IPC-DRM-18J: Component Identification Training and Reference Guide - English The Component Identification Training & Reference Guide is a valuable tool for employee training and quick reference. This comprehensive component identification resource for electronics assembly operators and inspectors contains color photographs, computer graphics, schematic symbols and detailed descriptions of through-hole and surface mount components commonly used in electronics assembly today.)

polyphase codes for radar pulse compression

dnf 源代码 自动搬砖 自动卖物自动分解(Automatic drawing brushing)

改变屏幕分辨率,程序控制动态改变屏幕的分辨率。(change the screen resolution, dynamic programmed to change the screen resolution.)

针对基于双曲线定位的DV-Hop算法中误差项的异方差性引起的定位误差大的问题，提出了一种基于加权双曲线定位的DV-Hop改进算法。算法分析了基于双曲线定位的DV-Hop算法模型中误差项的异方差性，用加权最小二乘法对异方差性进行纠正，对加权最小二乘法中的权值矩阵进行了推导并得到与跳数相关的最佳权值矩阵，使得误差项满足同方差性，所得估计值更加接近最佳线性无偏估计。仿真实验结果表明，所提算法在节点定位精度上较现有的基于双曲线定位的DV-Hop算法都有一定提高。(Aiming at the problem that the heteroscedasticity of observation errors leads to low locating accuracy in DV-Hop algorithm based on hyperbolic positioning, this paper proposes an improved DV-Hop algorithm which based on weighted hyperbolic positioning. The algorithm analysis the heteroscedasticity of the error term in the model and takes advantage of weighted least square method which corrects heteroscedasticity straightforwardly. Then, the weight matrix related to least hops between nodes is deduced, the estimators thus obtained are more close to the best linear unbiased estimator. The simulation results show that the location performance of the improved algorithm is better than that of the exsiting DV-Hop algorithm which based on hyperbolic positioning.)