aufgabe1

modifi bf load flow in matlab

基于遗传算法的WSN通信路由协议matlab仿真代码,讲解清楚适合实用(WSN routing protocol based on genetic algorithm matlab simulation code, to explain clearly, suitable for practical)

说明：  1、随机生成一个5*5矩阵A，元素符合均匀分布；再随机生成一个5*5矩阵B，元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算，查看运算结果。 2、创建5阶魔术矩阵，求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ，求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵，并显示其全部元素。 (1, randomly generated a 5* 5 matrix A, elements in line with uniform distribution then randomly generated a 5* 5 matrix B, elements in line with normal distribution. Pairs of A and B to add, subtract, multiply, divide, comparison matrix operations, view the results of operations. 2, create a 5-order magic matrix, find A, determinant, eigenvalues, inverse, rank, trace, the condition number. 3, assuming that matrix, find A, LU decomposition, orthogonal decomposition, eigenvalue decomposition, singular value decomposition. 4, create a six-order unit of sparse matrix, and display all of its elements.)

DECOMPOSITION OF ECG SIGNAL TO ITS COEFFICIENTS

激光谐振腔模拟程序，包含条形腔和圆形腔以及环形腔(Laser resonator simulation program, including strip and circular cavity and ring cavity)

CAPON谱估计方法的matlab源代码，已经通过验证了(CAPON spectral estimation methods matlab source code has been validated by)

In this paper, we analyze the performance of two important mobility management protocols..MIPv6 and HMIPv6. Analytical model is developed for two mobility models- random walk and fluid flow to compute signaling cost, which consists of two components- location update cost and packet delivery cost.

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

illumination-robust face recognition via sparse representation

the PV model in MATLAB/Simulink