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Matlab中关于实现傅里叶变换的书籍（英文版的）(Matlab Fourier transform on the realization of the books (in English))

By analyzing characteristics of Matlab and Visual C++,the advantages of applying the Matlab and Visual C++ interface to develop application program is presented. On basis of comparing with the other interface methods ,the advantages and disadvantages of several common interfaces are studied,and the most functions provided by Matlab engine is proved to be comprehensive. An example showing the combination of Matlab and VC in image and data processing is proposed

下行信道加扰源码,matlab编写,方便对通信模型的仿真和学习(Downstream channel scrambling codes, matlab prepared to facilitate the simulation model for communication and learning)

通信系统中基于MATLAB的四相移相键控调制的仿真(MATLAB-based communication system of the four-phase phase shift keying modulation simulation)

基于matlab GUI的贪吃蛇游戏程序。(Matlab GUI based on the Snake games.)

freeze the colormap in matlab

高斯白噪声的生成，用matlab实现，并附上说明。(The generation of gaussian white noise)

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 )

用于数据挖掘，在支持向量机中有重要的应用，主要用于做数据分类。(For data mining, have important applications in support vector machine, is mainly used for data classification.)

一个利用地震子波合成地震记录的MATLAB程序源代码，通过一个例子说明如何合成一个四层模型的地震记录。(Create 4 Layer synthetic seismogram model Call rickerw.m subroutine to generate ricker wavelet Use imagesc and plotseismic.m to plot the model)