Case

系统辨识与自适应控制MATLAB仿真CH6,好东西大家分享(System Identification and Adaptive Control of MATLAB simulation CH6, good things to share with you)

说明：  用matlab强大的数学算法引擎去实现语音识别，对过去的方法进行综述，并有所创新(Using matlab powerful mathematical algorithms to realize the speech recognition engine, the past methods of synthesis and innovation)

说明：  stk和matlab互联的应用，创建简单的gui，可以对场景进行放大缩小(STK and MATLAB interconnected application, create a simple GUI, can zoom in and out of the scene)

说明：  三相并网逆变器双闭环控制，基于dq坐标系下采用并网电流环与电压前馈的方法对其进行稳定性控制。包含SIMULINK2012-2018所有版本(Based on dq coordinate system, the stability of three-phase grid connected inverter is controlled by the method of grid connected current loop and voltage feedforward. Include all versions of simulink2012-2018)

weight-based resampling: an application of multinomial resampling. Also a SIR particle filter

利用Matlab工具箱设计模糊控制器 49条模糊控制规则形成一个模糊控制规则矩阵，然后根据模糊输入量按照相应的模糊推理算法完成计算，并决策出模糊输出量。 输出模糊量的解模糊方法选取重心法。(Computer simulation of fuzzy control system based on fuzzy toolbox and SIMULINK)

采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) ( Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1) )

this document describe the development of design of camera lens.

DVR- suitable for beginners with matlab mdl

压缩感知目前广泛应用于雷达成像或得超分辨稀疏成像，该文件为压缩感知三维成像。(Compressed sensing has been widely applied in radar imaging or sparse super resolution imaging, the file is compressed perception three-dimensional imaging. )