GS-Dammann

Electronic Device modeling using matlab 2 ebooks

闻亭公司培训DM642的内部资料一共有五天，里面包含讲解的ppt,文档，开发工具，课堂源码例子等。这是第一天内容.(Wintech DM642 training information, total of five parts, which contains explanations ppt, documentation, development tools, source code examples of class and so on.This is the first part. )

说明：  Ode 方程解法，主要用于网站收敛,这一算福安非常的好(numerical integration for ODE for the web site convergence)

可以对小系统进行暂态稳定分析,主要是功角稳定，以判别系统是否失稳(can analyze the transient stability of small system, mainly for rotor angle stability, to determin if the system is unstable)

说明：  计算数据集间的Kl距离，用于评估数据间的分布一致性(calculate the the distance between two data set, uate the distribution between two data set)

matlab实现图像直方图均衡化 不需要调用函数(Matlab image histogram equalization Don t need to call a function )

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

粒子群算法与DVHOP算法的结合，有结果图(Combined with particle swarm optimization algorithm and DVHOP have results in Fig.)

严恭敏博士后研究工作报告——捷联惯导系统动基座初始对准及其它相关问题研究报告 内容包括：大失准角下捷联惯导系统动基座初始对准，激光陀螺整周期采样对姿态解算的影响极其修正方法。SINS内杆臂效应分析与补偿，圆锥误差补偿。(Yan Gong Min postdoctoral research report- Moving Base SINS initial alignment study and other related issues Content includes: Large Misalignment under SINS Moving Base initial alignment, laser gyro effect on the attitude of the entire sampling period solver extremely correction method. SINS inner lever arm effect analysis and compensation, cone error compensation.)

In wireless sensor network, residual energy of node is very important criteria. Life of wireless sensor network depend the energy of node. In most of the application, the nodes are battery operated. So it is very important to select the parameters like nodes deployment in network, size of packet, etc. In work,analyze node’s energy with respect to packet size, distance, time and also how much data can be transmitted. And finally we will conclude for the effective value of these parameters.