ssb

Structures Theory in Spanish.

Matlab编程基础及应用，是学习matlab的好材料(Matlab programming basic and applied, is a good material to learn matlab)

用于产生高斯分布随机变量的matlab函数代码(Matlab function code used to generate Gaussian random variables)

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

最小均分误差均衡的matlab程序。学习LMS算法必备。(Minimum Mean Square Error equalizer matlab program. Learning LMS algorithm necessary.)

the very good man is you for anyone who descriminate this

fast ICA的源文件 独立成分分析 MATLAB工具箱里也有 可以下载到工具箱 安装后就可以使用了(fast ICA Independent component analysis of the source file MATLAB toolbox is also available for download to install, ready to use the toolbox)

说明：  过程信号的前馈-反馈型自适应盲分离算法：利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响 (The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the blind signal separation has been proved to achieve the signal separation is an effective method, different neural network model of the separation algorithm efficiency will be have a great impact on the)

Polynomial code in c++, contain differnet functions

matlab实现特定信号仿真，离散，连续，傅立叶变化，拉布拉斯变换和z变换(matlab to achieve a specific signal simulation, discrete, continuous, Fourier transform, Laplace transform and z-transform Rab)