ReadCine

快速可靠的GPS (全球定位系统)系统仿真可对双频GPS 接收机的设计、接收算法的研究 提供有效的帮助。文中详细介绍了在MatLab/Simulink 环境下GPS 系统仿真平台构建的基本方法。 首先分析了GPS 系统的各个环节，说明了各模型在仿真中的实现方法；然后给出了完整的系统仿 真框图，并在此平台上实现了GPS L2 载波相位跟踪的仿真。结果表明该仿真平台有效、可靠(Fast and reliable GPS (Global Positioning System) system simulation of dual-frequency GPS receiver design, receiver algorithm to provide effective help. Text in detail in the MatLab/Simulink environment GPS system simulation platform to build the basic method. First, we analyze the various segments of GPS systems shows that the model in the realization of simulation methods and then given a complete system simulation block diagram, and on this platform realize the GPS L2 carrier phase tracking of the simulation. The results show that the simulation platform for effective, reliable)

Matlab7.0，英文版的，讲的都是基础，适合初学者入门，很不错的资料。(Matlab7.0, the English version of, say are the basis of entry for beginners, very good information.)

watermarking using lsb replacement

matlab code for jammer modelisation

this code about optimization

路由算法是影响网络性能的重要因素之一，对路由算法的选择至关重要。介绍路由算法中的Floyd算法和RAD（Routing along DAGs）算法，并通过实验对两种算法性能作出分析和比较。实验分析结果显示：在链路利用率、链路流量负载均衡和链路失效对网络的影响范围方面，RAD算法要优于Floyd算法。在平均传输代价方面，Floyd算法要优干RAD算法。(Routing algorithm is one of the most important factors affecting network performance, and it is very important to select routing algorithm. The Floyd algorithm and RAD (Routing along DAGs) algorithm in routing algorithm are introduced, and the performance of these two algorithms is analyzed and compared through experiments. The experimental results show that the RAD algorithm is better than Floyd algorithm in terms of link utilization, link traffic load balancing and link failure. In terms of average transmission cost, Floyd algorithm needs to do well in RAD algorithm.)

Program for Bayesian Linear regression

Adaboost 算法的示例程序。简单且容易理解。请对照WikiPedia关于Adaboost的介绍阅读。(An example of adaboost algorithm. )

f16 uav 无人机f16文件 simulink 源码(f16 f16 uav UAV simulink source file)

用WINBUGS软件对生存分析中分段指数模型进行BAYES分析(bayesian analysis of piecewise exponential model)