ASK_Modulation

数字信号处理，LMS算法实现，简单MATLAB编程(Digital signal processing, LMS algorithm, a simple MATLAB program)

文件多自由度.m为单独的文件，单独执行即可，可以得到一个3自由度的系统受到脉冲作用的结果。 文control.m,plotresult.m,duoziyoudu.mdl为一个完整的程序，先执行control.m，而后执行duoziyoudu.mdl文件，最后plotresult.m文件画出结果。使用的是kobe地震波.(Document multi-degree of freedom. M as a separate document, a separate implementation can, you can get a 3-DOF system are the result of impulse. Text control.m, plotresult.m, duoziyoudu.mdl for a complete procedure, the first implementation of control.m, then the implementation of duoziyoudu.mdl documents, the final document drawn plotresult.m results. Kobe using seismic waves.)

MATLAB教学代码，包括37个短代码M文件，文字包含执行基本线性代数计算MATLAB命令文件等。(The MATLAB Teaching Codes consist of 37 short, text files containing MATLAB commands for performing basic linear algebra computations.)

电力系统17机动态稳定性测试数据，包含162条母线潮流数据和发电机的经典模型数据，潮流数据采用IEEE标准数据模型，适合基于matlab工具箱的电力系统动态仿真研究。(This 17 generator dynamic stability test case, which includes a 162 bus power flow data file)

利用matlab编制灰色预测模型，通过少量的、不完全的信息，建立灰色微分预测模型，对事物发展规律作出模糊性的长期描述（模糊预测领域中理论、方法较为完善的预测学分支）。(Using matlab preparation gray prediction model, a small amount of incomplete information, the establishment of the gray differential prediction model fuzziness long description (fuzzy forecast field theory of the law of development of things, the more perfect branch predictions).)

cycloneIII_3c120_dev_power_demo atlera公司官方例程(cycloneIII_3c120_dev_power_demo atlera company official routines)

这是我见过的最好的小波教程，对于小波学习很有帮助，通俗易懂。(This is the best I' ve ever seen wavelet tutorial, for wavelet study helpful, easy to understand.)

Spring movement Simulation Matlab / Simulink model(Spring movement Simulation)

最小二乘支持向量机，程序粘到command window里，设定 2 两个参数，可以更改，以达到最优化(igam=0.001 isig2=0.001 [gam,sig2]=tunelssvm({X,Y, f ,igam,isig2, RBF_kernel },... [0.001 0.001 10000 10000], gridsearch ,{}, leaveoneout_lssvm ) type= function approximation kernel= RBF_kernel model=initlssvm(X,Y,type,gam,sig2,kernel) model model=trainlssvm(model) Yt=simlssvm(model,Xt) )

Generate lorenz data. You can control the parameters and it may be useful for nonlinear analysis.