lagrange

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)

WSN中AFMR路由算法.（AFMR）算法，通过构建高效路由以及在各节点自适应地决定是否进行数据融合处理，解决了移动代理如何以能量有效的方式融合、收集相关性数据的问题。该算法综合考虑了移动代理在路由过程中传输能量和融合能量的消耗，并根据数据融合算法的能量开销和节能增益，对移动代理迁移到各节点时是否执行数据融合操作进行自适应调整，以达到在各种不同的应用场景中优化移动代理能量开销的目的。(wsn，AFMR)

说明：  光纤LP模式,光纤模式计算，纤芯模式，有效折射率(Fiber LP mode, fiber mode calculation, fiber core mode, effective refractive index)

数学建模2013B—第一题答案,自己编写，不狗血，带原题文件(Mathematical modeling of 2013 b- the first answers, write your own, not the dog blood, with the original file. )

FDTD的MATLAB代码，PML边界条件，三维模型(FDTD MATLAB)

maximum ratio combining

this is maltap . you can read .

完全由MATLAB开发的经典红白机游戏“超级马里奥”，包括GUI界面，作为娱乐消遣(By MATLAB development of the classic NES game “Super Mario”, including the GUI interface, for entertainment)

saadat power system matlab files

Incremental Conductance: In the incremental conductance algorithm, we find the derivative of PV output power with respect to output voltage. The dP/dV is evaluated and the algorithm keeps checking this value and changes the duty cycle such that dP/dV=- I/V = 0. This is the point at which maximum power is transferred. If dP/dV is greater than zero, it means the PV is operating to the left of the MPP. If dP/dV is less than zero, it means the PV is operating to the right of the MPP. This method holds an advantage over the perturb and observe method since it is fast and does not oscillate around MPP. However, the method could experience instability due the involvement of the derivative.