代码搜索:功率电路

找到约 10,000 项符合「功率电路」的源代码

代码结果 10,000
www.eeworm.com/read/197113/8028278

m 例程18-5.m

%采样频率 fs=10000; nfft=10240; %轴承滚动体故障信号 fid=fopen('bearingroll2.dat','r');%故障 N=2048; xdata=fread(fid,N,'int16'); fclose(fid); xdata=(xdata-mean(xdata))/std(xdata,1); %功率谱 figure(1); Y=abs(f
www.eeworm.com/read/197113/8028295

m 例程18-4.m

%采样频率 fs=10000; nfft=10240; %轴承外环故障信号 fid=fopen('bearingout1.dat','r');%故障 N=2048; xdata=fread(fid,N,'int16'); fclose(fid); xdata=(xdata-mean(xdata))/std(xdata,1); %功率谱 figure(1); Y=abs(fft
www.eeworm.com/read/197111/8028513

m 例程18-5.m

%采样频率 fs=10000; nfft=10240; %轴承滚动体故障信号 fid=fopen('bearingroll2.dat','r');%故障 N=2048; xdata=fread(fid,N,'int16'); fclose(fid); xdata=(xdata-mean(xdata))/std(xdata,1); %功率谱 figure(1); Y=abs(f
www.eeworm.com/read/197111/8028523

m 例程18-4.m

%采样频率 fs=10000; nfft=10240; %轴承外环故障信号 fid=fopen('bearingout1.dat','r');%故障 N=2048; xdata=fread(fid,N,'int16'); fclose(fid); xdata=(xdata-mean(xdata))/std(xdata,1); %功率谱 figure(1); Y=abs(fft
www.eeworm.com/read/332007/12786329

c chengxu.c

//1mS=79AD //路0为电源电压. // // if (power>pwmma) void uptime() { ClrWdt(); if ((pass)&&(power400)&&(power
www.eeworm.com/read/324902/13238784

m 14-2.m

I = checkerboard(8); % 创建一个棋盘图像 PSF = fspecial('gaussian',7,10); %创建点扩散函数PSF V = .01; BlurredNoisy = imnoise(imfilter(I,PSF),'gaussian',0,V); %对模糊图像添加高斯噪声 NOISEPOWER = V*prod(size(I)); %噪声功率
www.eeworm.com/read/324406/13264152

m get_channel_white_noise.m

function [noise_vector,channel,a]=get_channel_white_noise(channel,signal_sequence) %获得信道加性高斯白噪声,并且得到的a值用来进行功率分配 if (size(signal_sequence,2)~=0) S=mean(abs(signal_sequence).^2); else S=0;
www.eeworm.com/read/313882/13580129

m qostbc.m

function Pb=qostbc(SNR_dB) %------------------------------------------------------------------------ %星座映射采用的是QPSK映射 % SNR_dB 接收天线上的接收信噪比,在仿真的过程中把接收信号的功率归一化为1 % Pb是误比特率 %----------------------
www.eeworm.com/read/308329/13703982

m nornoise.m

function [Noise] = NorNoise(P, Len) % 产生0均值高斯噪声行矢量; % P为噪声交流功率(方差),Len为长度; % 返回噪声样值 stdNoise = randn(1, Len); Pfact = sqrt(P./mean(stdNoise.^2)); Noise = stdNoise * Pfact; % mean(Noise.^2)
www.eeworm.com/read/489816/6461875

m program_18_04_special.m

%采样频率 fs=10000; nfft=10240; %轴承外环故障信号 fid=fopen('bearingout1.dat','r');%故障 N=2048; xdata=fread(fid,N,'int16'); fclose(fid); xdata=(xdata-mean(xdata))/std(xdata,1); %功率谱 figure(1); Y=abs(fft