Multiagentes

使用Matlab R2009b进行数字音频调时处理编程(Using Matlab R2009b transfer digital audio processing program when)

本书详细讲述MATLAB软件在数字信号处理方面的作用，主要涉及内容有信号表示绘图、系统设计、滤波设计等。(MATLAB software in this book describe in detail the role of digital signal processing, mainly related to the content of a signal, said mapping, system design, filter design.)

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 )

多重网格算法实现图像的去噪，效果较好，基于rof模型，大家一起学习交流！(Multiple grid algorithm of image denoising, the effect is good, based on rof model, study with you exchange )

自编的BP神经网络Matlab程序，可完美运行。还附有0到9训练样本集，供大家参考学习(Self BP neural network Matlab program can be run perfectly. Accompanied by 0-9 training sample set for your learning)

本程序有本人实测的喷油脉宽波形，有基于小波的分析和希尔伯特黄分解的分析！很好用(Including injector-pulse-width waveform，there are some useful analysis based on wavelete and hilbert huang transform.)

KLT变换对信号的相关性，可以很好去除信号、数据的相关性，减小数据传输量。可以很好的提高速率，在图像处理中也有很好的应用！(KLT transform, signal correlation can be good to remove the signal, the correlation of data, reduce data traffic. May well improve the speed in image processing applications are also very good!)

利用MATLAB语言计算交互多模型函数IMMKF(Calculated using MATLAB language interacting multiple model function IMMKF)

POWER DVD LISENCE KEY

2013年A题程序，车道交通的元胞自动机MATLAB程序(MATLAB celluar)