shuangbianliuqikongzhi

useful to derive the bode plot simple structural formulae

卷积码的编码与维特比译码的相关仿真，比较它们的性能(Convolutional codes of coding and Viterbi decoding of the relevant simulation to compare their performance)

说明：  MATLAB 常用命令集合。能够很好的帮助初学者进行指导。内用确实很丰富不容错过(MATLAB command set used. Can be a good guide to help beginners. With a very rich indeed not to be missed)

说明：  二维TM波的FDTD算法，激励为高斯脉冲(Two-dimensional TM wave FDTD algorithm for the Gaussian pulse excitation)

prediction of time series

该文件是灰色神经网络预测算法的源程序，最初用于订单需求预测，并测试成功。(The file is a source of gray neural network prediction algorithm, originally used to order demand forecasts, and the test is successful.)

非线性PCA算法matlab程序段，完成独立分量分析的主分量分解(Non-linear PCA algorithm matlab program segment, the completion of independent component analysis of the principal component decomposition)

所建立的无刷直流电动机系统的Simulink仿真模型图，功能模块包括：逆变器模块、电源模块、换相逻辑模块、PWM信号产生模块、电动机本体模块、转速测量模块和磁极位置测量模块。(Established by the brushless DC motor system Simulink simulation model, and functional modules including: inverter module, power module, commutation logic, PWM signal generation module, motor body module, measuring module and the pole position speed measurement modules.)

Research of random signals. Fast Furier transform. Histograms and graphs made in Matlab. Lab work in Omsk state technical university.

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)