shengbomoni

迭代自组织数据分析，基于matlab GUI界面设计,有PMUSIC 校正前和校正后的比较。( Iterative self-organizing data analysis, Based on matlab GUI interface design, A relatively before correction and after correction PMUSIC.)

说明：  利用二阶循环统计量去除同频带干扰的影响，同时，当信号为相干信号时，也可以去相关，得到较好的结果，(Using second-order cyclic statistics to remove the influence of interference in the same frequency band)

matlab 程序 圆锥拟合 使用最小二乘法(matlab cone fitting procedure using the least squares method)

完成采样空间的采样，适合于响应面，近似模型之前的采样工作，文件夹中有具体介绍(The sampling space is completed. It is suitable for the response surface and the sampling work before the approximation of the model. The folders are introduced in detail.)

FFT A计权 倍频程分析 三分之一倍频程分析(F F T A w eight o c tave a n al o n e t hird o ctave)

多孔介质污染物迁移动力学地下水一维渗流的数学模型 差分求解(Contaminant migration in porous media groundwater dynamics differential one-dimensional mathematical model for solving seepage)

％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵， ％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。 ％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)

IEEE14节点接入一个风电场的牛拉法潮流计算MATLAB程序（含线路和风电机组的参数），里面有注解，方便理解。(IEEE14 Nodes System connected to a wind farm cattle MATLAB rafa power flow calculation (including lines and the parameters of the wind turbines), there are annotations, easy to understand)

基于牛拉法的电力系统潮流计算，该程序是计算IEEE3节点的，采用matlab编程(Cattle Rafah-based power system load flow calculation, the program the calculation IEEE3 node, using matlab programming)

SPH 源代码，用于科研计算，是光滑粒子流体动力学-一种无网格粒子法书后的源代码(SPH source code, for scientific computing, is a smoothed particle hydrodynamics -- a source code after a meshless particle method.)