S.J.Chapman_MATLAB

降低ofdm中papr的方法稀疏矩阵的特性分析(Method of reducing ofdm in papr)

用matlab写的三个径向基神经网络程序，分别为基于聚类的RBF，基于梯度法的RBF ，基于OLS 的RBF神经网络(using Matlab wrote three RBFNN procedures were based on the clustering of RBF, Based on the RBF gradient method, based on the OLS RBFNN)

turbo码高码率2/3码率的matlab编码实现，译码方式为log-MAP算法，删除矩阵为[1 1 1 0](achieve high rate of turbo codes)

Q345B的静态和动态再结晶过程描述，用于再结晶分析(user subroutine for abaqus in order to define MCR.)

in this program the horizon line detection is found out by using canny edge detector and hough transform.

基于二阶导数的图像边缘检测方法，包括marr算法和laplacian算法(Second derivative-based edge detection methods, including marr algorithms and laplacian algorithm )

抓取电脑屏幕。利用MATLAB实现print screen的功能(Capture the computer screen. Use MATLAB to achieve print screen function)

利用matlab软件计算一种平面波导TE0，TM0模式和光纤基模的传播常数。(Using matlab software to calculate the propagation constant of a planar waveguide TE0, the TM0 is scaled mode and fiber-based mode.)

E=input( enter the generator voltage: ) V=input( enter the infinite bus voltage: ) Gx=input( enter the reactance of generator: ) L1x=input( enter the line reactance: ) L2x=input( enter the line reactance: ) L3x=input( enter the line reactance: ) L4x=input( enter the line reactance: ) Pi=input( enter the input power: ) X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x Pm1=E*V/X1 DO=asin(Pi/Pm1) A=((L2x*L3x)/(2*(L2x+L3x))) C=A B=((L3x/2)^2)/(L2x+L3x) X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B Pm2=(E*V)/X2 X3=Gx+L1x+L2x+L4x Pm3=(E*V)/X3 DC=input( enter the fault clearing angle: ) Dm=(3.14-asin(Pi/Pm3)) a1=quad( sin ,DO,DC) A1=(Pi*(DC-DO)-Pm2*a1) a2=quad( sin ,DC,Dm) A2=Pm3*a2-Pi*(Dm-DC) if(A2>=A1) disp( the system is stable ) else disp( the system is unstable ) end Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2)) disp( critical clearing angle: ) Dcc

三电平载波同相层叠PWM方法谐波频谱分析及滤波器设计(Carrier-phase three-level PWM method cascading harmonic spectrum analysis and filter design)