bintoCCK

用Matlab编写的SmithChart作图软件，是微波、电磁场、射频专业的会用到(Using Matlab SmithChart mapping software, microwave, electromagnetic fields, RF expertise will be used)

摩托罗拉 hc908sr12的开发代码 codewarrior软件开发的(Motorola hc908sr12 development code CodeWarrior software development)

INS捷联惯导解算 使用四阶龙格库塔法 并附仿真数据一份(INS strapdown solver attached to the simulation data of a)

dbscan聚类代码及说明，包含多个文件的代码。(DBSCAN clustering code and description)

说明：  PSO的最基础版本，可用于粒子群算法，和群体智能的学习(The most basic version of PSO can be used for particle swarm optimization and swarm intelligence learning)

说明：  在VC++平台上的QDPSK编程，QDPSK是一种高性能 的调制技术。(In VC++ platform QDPSK programming, QDPSK is a high performance modulation technique.)

说明：  求最短路径 tsp matlab M文件(The shortest path tsp matlab)

edison mean shift for matlab

专家PID与普通PID的比较，说明专家PID优于普通PID(Compared with common PID, expert PID expert PID is better than the ordinary PID )

Abstract—Demand Response (DR) and Time-of-Use (TOU) pricing refer to programs which offer incentives to customers who curtail their energy use during times of peak demand. In this paper, we propose an integrated solution to predict and re-engineer the electricity demand (e.g., peak load reduction and shift) in a locality at a given day/time. The system presented in this paper expands DR to residential loads by dynamically scheduling and controlling appliances in each dwelling unit. A decision-support system is developed to forecast electricity demand in the home and enable the user to save energy by recommending optimal run time schedules for appliances, given user constraints and TOU pricing the utility company. The schedule is communicated to the smart appliances over a self-organizing home energy network and d by the appliance control interfaces developed in this