matlab-smallworld

matlab中FCM分类的代码，是我看过代码中，相对简单的，适合初学者使用(FCM classification code in matlab, I have seen the code, relatively simple, suitable for beginners)

FSK调制与解调，该程序是用matlab simulink编的(FSK modulation and demodulation, the program is compiled using matlab simulink)

This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1) + now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! (This program places dates on time axis as DATETICK and works with ZOOM and PAN as DATETICKZOOM by Christophe Lauwerys. But, it also shows the full date after zooming or panning by using the ticks and time-axis label. So, if you zoom in down to second, you won t loose "when" you are. The input arguments are equal to those of DATETICK function, but if more than one axis handle is specified, they all will be LINKED! Also, some other options are available, for example, the use of LOCAL LANGUAGE for the months (default), or the use of an specific date format: DD HH:MM SS.FFF for example. Besides, sometimes with DATETICK you don t get optimal results. This program (try to) fix this problem. Just use it after some plot function with days (see DATENUM) in one of his axis (time-axis): t = linspace(0,1)+ now x = rand(size(t)) plot(t,x) axis tight tlabel <---- Enjoy it! Bugs reports and suggestions will be very appreciated! )

Spectrogram with RTDX Using MATLAB

颗粒提取，用于MATLAB仿真的，提取一些细小的颗粒。效果较好。(Particle extraction for the MATLAB simulation, extract some small particles. Better.)

在matlab环境下的一个朴素贝叶斯分类器，大家可以学习参考下(Matlab environment a Naive Bayes classifier, we can learn to refer to the following)

多个神经元分类，又称模式联想。对如下输入、输出样本进行分类。要求用MATLAB画出最后的线形图。 p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1](Multiple neurons classification, lenovo is also called the mode.Classify the following input and output sample.The last line diagram to use MATLAB to draw. p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0-0.3-0.5-1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8-1.5-1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1])

先进PID控制matlab仿真光盘的全套源程序，欢迎大家下载，谢谢(Advanced PID control matlab simulation CD-ROM full source code, are welcome to download, thank you.)

file includes least square and least mean in matlab

作者详细给出了四轴飞行器建模的仿真实验过程，适合飞行爱好者阅读(The author gives a detailed simulation modeling process Four aircraft for flight enthusiasts reading)