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Matlab fdtd （时域有限差分）一维，二维，三维集合(Matlab fdtd (FDTD) one-dimensional, two-dimensional, three-dimensional collection)

针对传统α － β 滤波算法不够有效跟踪机动目标的问题， 详细分析了其内在原因， 提出一种改进的α － β 滤波算法。该算法不需要假定目标的机动模型， 而是将目标的机动加速度作为滤波状态直接估计出来， 将估计加速度作为输入控制量引入到传统α － β 滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α － β 滤波算法进行比较， 证明了新的算法不仅具有传统算法计算量小的优点， 而且还可以对机动目标进行实时跟踪。仿真结果表明， 新算法在综合性能上明显优于传统算法。(In view of the problem that the traditional alpha beta filtering algorithm is not effective in tracking the maneuvering target, the internal reason is analyzed in detail, and an improved alpha beta filtering algorithm is proposed. In this algorithm, the maneuvering model of the target is not assumed, but the maneuvering acceleration of the target is estimated directly as the filter state, and the estimated acceleration is introduced into the state estimation equation of the traditional alpha beta filter to track the maneuvering target in the state estimation equation of the traditional alpha beta filter. Then compared with the traditional alpha beta filtering algorithm, it is proved that the new algorithm not only has the advantages of small computation in the traditional algorithm, but also can track the maneuvering target in real time. The simulation results show that the new algorithm is superior to the traditional algorithm in terms of comprehensive performance.)

This code is a subprogram for Waterfilling algorithm...

STK(卫星仿真工具箱)/matlab联合仿真，带GUI软件界面（matlab）。场景演示的例程，可以作为一个仿真开发的基础平台。(STK/matlab joint simulation, a good example with GUI)

projection and backprojection

说明：  集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals)

low energy adaptive clustering code in matlab for wireless sensor netwoks

用3中误差扩散滤波器实现误差扩散，分别是floyd stein, sierra, Stenenson滤波器(Error diffusion filter with a 3 to achieve error diffusion, respectively, floyd stein, sierra, Stenenson filter)

非常详细的MS3110技术手册,MS3110是一款微小电容检测芯片，可以检测0-10pF电容(MS3110 technical manual is very detailed)

电力负荷预测是电力系统规划的重要组成部分，也是电力系统经济运行的基础，其对电力系统规划和运行都极其重要。利用粒子群算法优化支持向量机更加高效准确预测电力负荷。(The power load forecasting is an important part of the power system planning, and it is also the basis of the economic operation of the power system. It is very important to the planning and operation of the power system. Particle swarm optimization is used to optimize SVM to predict power load more efficiently and accurately.)