Cooperative-Path-Planning-BBO

这是一部写给在校计算机专业学生的书 如果没有看到这本书 你可能会茫然无措的度过学习阶段(This is a book written for computer major students If you don t see this book You may be at sea through the learning phase)

基于模式空间的均匀圆阵方位估计性能研究，在建立了均匀圆阵数学模型的基础上，将模式空间与经典高分辨方位估计算法———多重信号分类法（MUSIC） 应用到均匀圆阵方位估计（DOA）中(Based on the pattern space DOA estimation with uniform circular arrays properties, in the establishment of a uniform circular array based on the mathematical model, the model space high resolution DOA estimation algorithm with the classic--- multiple signal classification (MUSIC) direction applied to the uniform circular array estimation (DOA) in)

说明：  curvelet工具包2.0版本很好的图象处理工具 是很不错的图像处理工具，对做图像处理研究的人很有用处。(curvelet Toolkit version 2.0 very good image processing tools is a very good image processing tool for people who do image processing research useful.)

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

风电潮流的波动会引起并网系统公共连接点（PCC）电压的波动。在基于电压源换流 器的高压直流输电（VSC-HVDC）交直流混合风电场并网系统中，控制VSC-HVDC 送端站注入 到PCC 点的无功功率可以抑制电压波动。本文讨论了VSC-HVDC 的无功功率控制器和定电压控制 器抑制电压波动的原理。基于电磁暂态软件PSCAD/EMTDC 建立了并网风电场模型、VSC-HVDC 模型及控制系统模型。仿真结果表明VSC-HVDC 采用定电压控制器的并网系统能更好的抑制电 压波动，采用无功功率控制器的系统具有较好的风电场并网性能。(Reactive power variation of integration wind farm may cause point of common coupling （PCC） voltage fluctuation. In hybrid wind farm integration system based on HVDC of voltage source converter （VSC-HVDC）, the voltage fluctuation can be alleviated by compensating reactive power to PCC from VSC-HVDC sending end. Therefore, the reactive power controller and the stable voltage controller to alleviate voltage fluctuation are studied in the paper. The integration wind farm, VSC-HVDC and their controller models are set up by PSCAD/EMTDC. The simulation results show that the integration system adopted stable voltage controller has a better performance to alleviate voltage fluctuation. However the system adopted reactive controller has a good wind farm integration capability.)

This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best fit the data. We obtain a robust clustering method called High- Dimensional Data Clustering (HDDC). We apply HDDC to locate objects in natural images in a probabilistic framework. Experiments on a recently proposed database demonstrate the effectiveness of our clustering method for category localization.

无线覆盖市场月度监测报告、行业发展报告文件(monthly monitoring report)

一种基于ARM7的便携式式心电监护仪及心电分析的研究 (An analysis based on the ARM7-portable ECG and ECG)

Towards an optimized abstracted topology design in cloud environment

enhanced DEEC matlab code for WSN