Dctlab

FDTD simulating problem Sullivan.

卡尔曼滤波中，前后平移的函数。这是最基本的算法(Before and after kalman filter, the translation function.This is the most basic algorithm)

数值分析及其matlab实现，任玉杰著。给出了每一种数值方法的matlab实现(Numerical analysis and matlab to achieve, Ren Yujie book. Each is given a numerical methods matlab to achieve)

分布傅里叶方法求解光纤中的光传输振幅，求解非线性薛定谔方程(supercontinuum generation with matlab)

HMM,DBN Function matlab tool box

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)

基于数字形态学的字符识别 recognizes the characters (in integer form) present in the image X and displays it as output. INTREC uses morphological operations(like (Based on the number of morphological character recognition recognizes the characters (in integer form) present in the image X and displays it as output. INTREC uses morphological operations (like)

详细的unscented particle filter 程序(Unscented particle filter detailed procedures)

speech compression using rabiner algorithm

matlab的基础教程，介绍了matlab编程的基本操作及使用方法(Essentials of matlab, matlab programming for the basic operation and use)