FDTD_2D_with_Mur_ABC_boundary

格子BLOTZMANN方法，两相流 matlab程序(Lattice BLOTZMANN method, two phase flow matlab program)

%solve u_xx + u_yy = f(x,y) % over the region D = [x0,xf,y0,yf] = {(x,y) |x0 <= x <= xf, y0 <= y <= yf} % with the boundary Conditions: % u(x0,y) = bx0(y), u(xf,y) = bxf(y) % u(x,y0) = by0(x), u(x,yf) = byf(x) % Mx = # of subintervals along x axis % My = # of subintervals along y axis % tol : error tolerance % MaxIter: the maximum # of iterations

Optimized scaling算法 可以用来优化选择(Optimized scaling algorithm can be used to optimize the choice of)

kalman filter 的入门程序 包括 m 文件和 simulink 仿真文件 对于初学者 入门是很好的资料 (both m files and simulink models are included, which will be very helpful, especially for newlearners. )

说明：  基于matlab实现的双线性变换法设计滤波器，对心电图滤波，得出幅频特性图(Matlab based on the realization of the bilinear transformation method designed filter, for filtering electrocardiogram obtained amplitude-frequency characteristic map)

直线一级倒立摆稳摆控制的MATLAB仿真图(Linear stability of inverted pendulum chart pendulum control of the MATLAB simulation)

针对数控钻孔最优效能的算法求解文献，使用PCB进行解决，能够更高效率地完成对于数控钻孔效率的提高。(CNC drilling optimal performance of the algorithm for solving literature, the use of PCB address, can more efficiently complete CNC drilling efficiency improve.)

卷积码的性能检测程序，适用于信道编码盲检测。卷积码的盲检测(Performance test of convolution code program, suitable for channel coding blind detection.Blind detection of convolution code)

C++求圆的面积小程序 输入圆的半径，便可以求出圆的面积。。 主要熟悉C++编程(C++ calculate a area of ​ ​ a circle program)

本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同(In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method)