APA

该程序用于实现图像分割中的区域生长法。共有4个参数。1，2，种子点的座标，3，图像，4，生长时用到的域值。(this code is used for region growing in the image segmentation domain.)

MATLAB源码，preprocessing.m: preprocess the picture including:Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m: input the source picture output the core point of the fingerprint. samfun.m: generate the sample pattern automatically, which is used to sample the fingerprint. gabor2d_sub: get gabor filter. varpic.m: calculate variance picture(MATLAB source, preprocessing.m : preprocess the picture including : Wiener filter; meddle value filter, change a gray picture to a binary one and then get the skeleton. centralizing.m : input the source picture output the core point o f the fingerprint. samfun.m : generate the sample pattern automatically, which is used to sample the fingerprint. gabor2 d_sub : get gabor filter. varpic.m : calculate variance picture)

  Matlab中如何求一个序列的极值？在Matlab中有专门求序列最大值和最小值的函数，分别是Max  和  Min，但是有时候我们不满足于求整个序列的最值，而是对序列的极值，也就是局部的最值感兴趣。对于解析函 数，这个比较简单，只要令一阶倒数为零求出对应的自变量就行了。(Matlab how to seek a extremum sequence? In the Matlab there is a special function for sequence of maximum and minimum values, respectively is Max and Min the value, but sometimes we do not meet for the whole series, but the extremum sequence, also is the value of local interest. For analytic functions, this is relatively simple, as long as the countdown to zero order and related variables on the line.)

说明：  基于非线性PCA准则的两个盲信号分离算法， 利用矩阵广义逆递推得到一种盲信号分离算法，采用梯度下降算法和线性寻优而得到另一种自适应盲信号分离算法(sourceseparation based nonlinear pca princple)

incompressible fluids

可见光通信系统仿真，考虑多次反射，对应文章Improvement of data rate by using equalization(visible light communication system simulation)

This is a MATLAB based program that computes the weights and beamforming pattern of a: I. Linear array II. Rectangular planar array

control 3 phase motor

Matlab 图像检索源代码，灰度直方图方法，简单检索方法(Matlab image search)

调用MATLAB工具箱分解信号 小波的一维分解(Calling MATLAB toolbox decomposed signal one-dimensional wavelet decomposition)