Power-Flow-Calculation-Methods

Gerald Teschl s matlab files for german book: "Mathematik für Informatiker 2: Analysis und Statistik" ISBN "9783540724513"

依据simulimk中提供的程序设计的跟踪微分算法(Simulimk provided in accordance with the procedures designed to track the differential algorithm)

实例编程matlab 常用的100个源程序(Examples of commonly used programming matlab source code 100)

Lee filter for speckle noise reduction Authors : Jeny Rajan, Chandrashekar P.S

matlab中，对曲线拟合时指数的自动识别(matlab in, when the index on the curve fitting of automatic identification)

基于四边单元速度传热问题程序,入门程序，简单易懂，适合初学者对该方法编程的一个初步认识(Based on four sides of the unit rate of heat transfer procedures, entry procedures, easy to understand for beginners to the method of programming a preliminary understanding)

使用matlab编程解一般代数方程 线性方程组、线性微分方程。(Matlab programming solutions using the general algebraic equation of linear equations, linear differential equations.)

分析空间误差模型，得出相关系数估计值以及检验模型变量的显著性(Analyze spatial error model to arrive at the estimated value of the correlation coefficient and test model variables significantly)

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

數位影像處理作業 noise filter (Digital Image Process Noise filter)