Electronic_Devices_modeling_using_matlab_Ebooks

MATLAB 数学手册完整版 很实用,是word版本(MATLAB Mathmatical Guide Complete version )

采用行均值相减法抑制温度场的非线性影响，增强目标点，利用形态学方法抑制背景并保留高亮区，搜索局部极大值，利用阈值分离出目标，实现红外点目标的检测(enhancement of point target are carried out by inhibiting nonlinear influence in temperature field with line average subtracting，Inhibiting background and maintaining high brightness area are implemented by using Top-Hat operator morphological filtering，then The targets are separated off from searching for local maximum。this program realize the detection the infrared small target)

宽带MVDR波束形成源代码，可以改参数，功率输出分贝表示(Broadband MVDR beamforming source code, you can change parameters, said power output dB)

The aim of this project is the analysis of a Modular Multilevel Converter (MMC) and the development of a control scheme for energy stored. The analysis is based on the use of a simplified circuit constituted by a single leg of the converter where all the modules in each arm are represented by a single variable voltage source.

have adapted the PSO to search in binary spaces

摘要:经验模态分解方法(EMD )在非平稳信号的分析和处理中起着重要的作用 ,为了能够方便的使用EMD方法对信号进行处理 ,现labVIEW 虚拟仪器开发平台良好的用户图形界面和TLAB 软件强大的数值分析功能相结合 ,利用 Lab V IEW调用 MATLAB实现EMD信号处理方法.仿真结果表明对信号进行EMD分解后,使得瞬时频率具有了物理意义,但只是对信号进行了初步处理 ,可根据实际需要进行相应后续处理 。(Abstract: The empirical mode decomposition (EMD) plays in the analysis and processing of non-stationary signals an important role, in order to facilitate the use of EMD method for signal processing, virtual instrument development platform now labVIEW good graphical user interface and TLAB powerful numerical analysis software combined with the use of Lab V IEW call MATLAB realize EMD signal processing methods. simulation results show that the signal EMD decomposition, so that the instantaneous frequency has a physical sense, but only a preliminary processing of the signal, according to The actual need for appropriate follow-up treatment.)

单径或多径瑞利衰落信道仿真，主同步信号PSS在时域上的相关仿真，MIMO OFDM matlab仿真。( Single path or multipath Rayleigh fading channel simulation, PSS primary synchronization signal in the time domain simulation related, MIMO OFDM matlab simulation.)

四种窗函数设计FIR数字滤波器matlab源码（hant,hamming,blackman,kaiser)(use window functions to design digital low-pass FIR filter...)

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) )

对数据进行reof处理，得到数据的空间模态和时间系数(Matlab function of reof)