RLS3

深度学习的自编码器MATLAB程序。需根据文档内说明进行相关文件下载并配置(Depth of learning from the encoder MATLAB. To be based on the relevant documents within a document instructions to download and configure)

用matlab编写的最近邻域的数据关联，采用kalman滤波实现(Associated with the most recent data prepared matlab neighborhood, using kalman Filtering)

此代码仿真了一个语音输入输出系统，语音信号经过AD转换后，经过DSSS调制解调后，通过DA转换还原输入的声音，每一步的的波形都可以观测，对实际DSSS系统设计有很大的参考价值(This code simulation of a voice input and output systems, speech signal after AD conversion after DSSS modem through DA conversion to restore the input voice, each step of the waveform can be observed, the actual design of DSSS systems have great reference value)

接连惯性导航算法中，运用卡尔曼滤波算法的方程计算(Series of inertial navigation algorithm, using the equation of the Kalman filter algorithm)

迭代学习控制源程序，适合初学者，希望和有关机器鱼轨迹跟踪方面交流。(Iterative learning control source program, suitable for beginners, hopes and exchanges on trajectory tracking of robotic fish.)

维纳滤法实现语音去噪的两种算法 适合学习语音信号编码的(Wiener filtration voice denoising algorithm)

说明：  在matlab里实现三维仿真布里渊散射信号随温度变化的趋势，(Achieved in three-dimensional simulation matlab Brillouin scattering signal with the temperature change trend,)

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

MATLAB code for back propogation neural networks

MatLab_Using_Simulink 熟练掌握simulink。(Simulink MatLab_Using_Simulink master.)