differential-entropy

this a matlab simulink file

Matlab界面编程指南，初入者入门书籍(Matlab interface programming guide, who first joined the entry books)

运用matlab环境，编写仿真程序，采用Radon计算线性调频信号的斜率(Use matlab environment simulation program written using Radon calculate the slope of the linear FM signal)

Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。(Gabor wavelet transform lacks in its ability to classify the medical CT image if it’s rotation invariant image. Aiming at the problem, an approach is presented for rotation invariant medical texture classification based on Gabor wavelet transform. Rotation normalization is achieved by circular shift of the feature elements, so that all images have the same dominant direction. Experimental result shows that Gabor wavelet transform with circular operator of rotation normalization has well precision to classify the medical CT image.)

光学干涉、衍射代码，包括双缝干涉，多孔干涉等等，还有效果图(Optical interference, diffraction code, including double-slit interference, porous interference, etc., as well as renderings)

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

image projection code using ART

《数值分析》教材中对应的每章中例题的matlab源程序(numerical analysis matlab code)

这是周建兴的《matlab从入门到精通》第5章的所有源代码，都可以运行的出来，和课本上的一样，(This is Zhoujian Xing' s " matlab from entry to the proficient," Chapter 5, all the source code, you can run out, and textbooks on the same)

一段matlab源码，可以判断电力系统的故障类型。(A matlab source code, you can determine the type of failure of the power system.)