other_16QAM

这是一个混沌理论中重要的chen映射的程序。通过曲线很容易看到奇妙的混沌吸引子(Chaos Theory important Rezeption mapping procedures. Curve is easy to see wonderful chaotic attractor)

To calculate the maximum displacement in Cantilever beam. Using finite element method.

这是MATLAB图像处理函数的具体讲解，非常实用具体，对图像研究方面的编程很有帮助(This is the MATLAB image processing function on the specific, very concrete and practical, research on the image programming helpful)

greypred.rar用于GDP预测，较为精准，误差小，程序简单，容易操作，实用。是很好的预测程序。(liner fit)

1采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。提示：可以用6位的0/1进行编码，适应度函数可以考虑类似 。(1 genetic algorithm for boys and girls in the sample data of height, weight, like math, like literature, like sports, like pattern recognition feature a total of six feature selection, design and use of SVM classifier for boys and girls based on the best features of the resulting and calculating prediction performance model (including SE, SP, ACC and AUC). Tip: 6 may be encoded with the 0/1, the fitness function may be considered similar.)

十进制转化为二进制 m代码 很精简的一个代码，十六位二进制转化都十分迅速(Decimal into binary m code very concise code, very fast 16-bit binary conversion)

单摆、倒立摆的二维及三维控制与仿真（请在matlab7.0中打开）(pendulum, the inverted pendulum 2D and 3D Control and Simulation (please matlab7.0 open))

系统辨识与自适应控制程序 matlab 仿真 能达到很好的效果(System identification and adaptive control program matlab simulation can achieve good results)

PWMSound.m processing signal digital

说明：  reg 转换为 hsv 的matlab源代码 subplot(221) subimage(ph) colorbar xlabel( (a)色调分量图像 ) subplot(222) subimage(ps) colorbar xlabel( (b)饱和度分量图像 ) subplot(223) subimage(pv) colorbar xlabel( (c)亮度分量图像 ) subplot(224) subimage(phsv) colorbar xlabel( (d)调整后的图像 ) (reg into the matlab source code hsv subplot (221) subimage (ph) colorbar xlabel (' (a) color component image' ) subplot (222) subimage (ps) colorbar xlabel (' (b) saturation component image ' ) subplot (223) subimage (pv) colorbar xlabel (' (c) luminance component image ' ) subplot (224) subimage (phsv) colorbar xlabel (' (d) Adjustment After the image ' ) )