I enabled fft function in oscillioscope and it saved the data as FFT amplitude (dBV) and frequency domain how ever I want my time domain and ampltude signals original data.
%%
folder = ‘C:UsershaneuOneDrive바탕 화면New folder (2)’;
filename = ‘550mvp.csv’;
data = readtable(fullfile(folder,filename));
frequency = table2array(data(3:end,1));
amplitude = table2array(data(3:end,2));
figure,plot(frequency/1e6,amplitude)
xlim([0,15])
xlabel(‘Frequency [MHz]’),
grid on,
ylabel(‘Amplitude[dBV]’)%%
folder = ‘C:UsershaneuOneDrive바탕 화면New folder (2)’;
filename = ‘550mvp.csv’;
data = readtable(fullfile(folder,filename));
frequency = table2array(data(3:end,1));
amplitude = table2array(data(3:end,2));
figure,plot(frequency/1e6,amplitude)
xlim([0,15])
xlabel(‘Frequency [MHz]’),
grid on,
ylabel(‘Amplitude[dBV]’) %%
folder = ‘C:UsershaneuOneDrive바탕 화면New folder (2)’;
filename = ‘550mvp.csv’;
data = readtable(fullfile(folder,filename));
frequency = table2array(data(3:end,1));
amplitude = table2array(data(3:end,2));
figure,plot(frequency/1e6,amplitude)
xlim([0,15])
xlabel(‘Frequency [MHz]’),
grid on,
ylabel(‘Amplitude[dBV]’) signal processing, fft, data acquisition MATLAB Answers — New Questions
