波束空间MUSIC算法boshukongjianmusic

电力电子电路matlab仿真程序，丰富实用，即学即会。(Matlab power electronic circuit simulation program, rich in practical, that will learn.)

多个目标提取，原始帧和背景帧相减，提取目标(Multiple target detection, the original frame and background frame subtraction, extraction of target)

无标度网络结构相对简单,实现算法与可视化并不困难。与其它语言相比,Matlab 语言具有丰富的数学 函数库,能够写出简约的源代码。对于非计算机专业的大学生来说,以此为基础,能够快速进入复杂网络前沿 研究课题,对其数学建模能力和科研能力的培养极为有益。(Scale-free network structure is relatively simple algorithm is not difficult and visualization. Compared with other languages, Matlab language with a rich library of mathematical functions, can be simple to write the source code. For non-computer science students is as a basis to quickly enter the complex network of cutting-edge research topics, their mathematical modeling and scientific research is extremely useful ability.)

可行方向法，用于无约束优化的作业所制作，请大家指教(Possible direction method, used for unconstrained optimization of assignments)

用matlab实现bmp图8位与24位读取（不用imread），并整合为GUI操作(Bmp using matlab Figure 8 and 24 read (not imread), and integration of GUI operation)

MATLAB实现最大类间方差法,效果一般(In MATLAB Otsu method, the general effect)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

heart VI1 simulator simulink

说明：  实现Brent(布伦特)优化搜索，寻找极大极小值。.M文件(brent optimize to search for the max or min data.)

数字水印源码，基于matlab的，可实现，共同分享。(Digital watermarking source code, based on the matlab can be realized.)