Data Type Support fft supports inputs of data types double and single. If you call fft with the syntax y = fft(X, ...), the output y has the same data type as the input X. 更多MATLAB中FFT的使用方法,您可点击: 用于Infiniium 和 InfiniiVision 示波器的 N8831A MATLAB 数据分析软件 - ...
fft supports inputs of data types double and single. If you call fft with the syntax y = fft...
1. the size of the data is 512, and it represents discrete time domain continuous signal. That means the samples are taken after 6e-6 sec at each 1e-6 sec time interval. 2. the fft function is called only once at line 4 I have tried plot(abs(x)); it still does not work 댓...
datf= fft(data,N)specifies the transformation lengthN. In the default case, the length of the transformation is determined by the signal length. IncludingNforces the FFT transformations to pad with zeros if the signals indataare shorter thanNand truncate the signals otherwise. Thus, the number...
FFTDataInput.signals.plotStyle=0; FFTDataInput.blockName=''; FFTDATAa = power_fftscope(FFTDataInput); %% 生成FFTDATA结构体 % 以下内容需要人为设定 FFTDATAa.input = 1; %% 输入变量数 FFTDATAa.signal = 1; %% 通道选择 FFTDATAa.startTime = t(1); %% 起始时刻,不可为0 ...
8、频率sub plot(2,2,2), plot(f(1:N/2),mag(1:N/2)*2/N); %绘出 Nyquist频率之前的振幅xlabef频率 /Hz);ylabel(振幅);title(,Ndata=32 Nfft=128,);grid on;Ndata=136; %数据个数N=128; %FFT采用的数据个数n=0:Ndata-1 ;t=n/fs; % 时间序列x=0.5*sin(2* pi*15*t)+2*sin(...
Transform data to the frequency domain and plot. Get datf = fft(z1); plot(datf) Transform Data by Specifying Transformation Length Copy Code Copy Command Load the data. Use fft to transform the time-domain data z1 to the frequency domain, using a transformation length N of 100. Get ...
spread_data=reshape(spread_data,[],1);%%插入导频 P_f=3+3*1i;%Pilot frequency P_f_station=[1:P_f_inter:N_fft];%导频位置(导频位置很重要,why?) pilot_num=length(P_f_station);%导频数量forimg=1:N_fft%数据位置ifmod(img,P_f_inter)~=1%mod(a,b)就是求的是a除以b的余数 ...
FFT of Earthquake DataThe 9.81 you are multiplying by strongly suggests that your data is acceleration. You would need to integrate that twice in order to get amplitude. On the other hand, the fact that your text legend lists amplitude as being in m/sec suggests that what you are calling...
y=fft(x,N); %信号的Fourier变换 mag=abs(y); %求取振幅 f=(0:N-1)*fs/N; %真实频率 subplot(2,2,1),plot(f(1:N/2),mag(1:N/2)*2/N); %绘出Nyquist频率之前的振幅 xlabel('频率/Hz');ylabel('振幅'); title('Ndata=32 Nfft=32');grid on; ...