gaussian

DistMesh giving a singular FEM matrix?(Hi Anyone here with some experience of using DistMesh in finite element code? I m solving the scalar Helmoltz equation in an annular region in 2D: rho_1 < rho < rho_2 where rho_1 is the radius of a Perfect Electric Conducting cylinder and rho_2 is where the mesh is truncated using an Absorbing Boundary condition. Now, I ve written code to mesh the region myself (by dividing the region into annular rings and picking a fixed number of points on each ring) and I ve written another program which uses DistMesh to mesh the region. I get a nice solution using my own meshing code but the FEM matrix becomes singular when I use DistMesh. This is the DistMesh Code I used: Circle with hole rABC=1.5 rCyl=0.5 fdstring=sprintf( ddiff(dcircle(p,0,0, f),dcircle(p,0,0, f)) ,rABC,rCyl) fd=inline(fdstring, p ) box=[-2,-2 2,2] [p,N]=distmesh2d(fd,@huniform,0.04,box,[]) I tried changing box and the 0.04 value (initial edge length). But every time, the matrix becomes sin)

基因演算法,学习速成,matlab,求解peaks的最大值(Genetic algorithms, learning quick, matlab, solution of the maximum peaks)

radial_Power_flow for power systems

自己编的APF，非常高效，谐波处理用的三单相分别滤波，值得下载(APF model produced by myself ，It’s very efficient)

kalman filter for tracking

数字滤波器的MATLLAB仿真源代码，下载即可使用，具有很好的学习参考价值。(Digital filter MATLLAB simulation source code, download to use with a good learning reference value.)

数据同化的经典算法，集合卡尔曼滤波算法，用Matlab写的，里面附有一些参考文献，初学者适用(Classical algorithm of data assimilation, ensemble Kalman filter algorithm, written using Matlab, which with some references, for beginners)

盲信号分离(BSS)是指在对彼此独立的源信号混合过程及各源信号本身均未知的情况下，从混合信号中分离出这些源信号的方法。BSS可以用来从多个麦克风混合语音信号中提炼出单个语音信号。本文简要阐述LMS、RLS算法，并通过仿真实验来分析比较这两类方法的性能，并利用此方法对一实际的语音信号进行分离。(Blind Signal Separation (BSS) is defined as independent of each other mixed-signal process and the source of the signal itself are unknown circumstances, from the mixed-signal to isolate the source of these signals. BSS can be used from multiple microphones mixed voice signal to extract a single speech signal. This paper briefly described LMS, RLS algorithm, and through simulation experiments to analyze the comparative performance of these two types of methods and take advantage of this method on a real speech signal separation.)

optical character recocognition .

crossover and mutaion for binary genetic algorithm