fuzzy1

这是一个虹膜识别检测的周围元器件的程序描述，很完整，也是很好验证的(This is a test of iris recognition around the components of the program description, it is complete and is good for validation)

T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000，训练目标为0.01，学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据，和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )

说明：  自己写的一个基于肤色模型的人脸检测的matlab代码。( I write a face detection based on skin color model with matlab.)

基于小波变换的纹理提取，很好的matlab程序(Extract, good texture based on wavelet transform matlab program)

实现信号LMS处理，并输出波形，能够实现信号的处理，可用于声音的处理(It can realize signal LMS processing and output waveform. It can realize signal processing and can be used for sound processing.)

matlab创始人moler的matlab书籍的源代码(founder moler the matlab matlab source code books)

说明：  This .rar file include two .m files. It s simple simulation of cdma and DSSS. Hope it will help you understand the theory.

利用matlab产生正弦信号，加噪声，分析其加噪前后的数字特征(Using matlab to produce a sinusoidal signal plus noise, and analyze the numbers before and after adding noise characteristics)

guide to matlab program for comparing m/m/1,m/m/n and m/m/k

matlab程序，中心差分法。。。。。。。。。。。。。。。。。(matlab program, central difference method. . . . . . . . . . . . . . . . .)