How can I plot some fft data in a different way?

2 vues (au cours des 30 derniers jours)
Francesco Pignatelli
Francesco Pignatelli le 21 Juil 2021
Dear all,
I usual plot spectrograms plotting time vs. frequency vs. amplitude. I have collected some records through a microphone and each of the recordings are named usign a parameter, so called 'ϕ'. I would like to plot a single spectrogram similar to the one in the attached picture containing my data. File structure is 2 colums (time and amplitude) and 10000 rows.
Could you please help me making this "ϕ vs. frequency vs. amplitude" plot by using the two signal files attached?
I would sincerly appreciate it since I am litterally freaking out trying to fixing this issue.
  4 commentaires
Francesco Pignatelli
Francesco Pignatelli le 22 Juil 2021
Modifié(e) : Francesco Pignatelli le 22 Juil 2021
Values of ϕ are in the file name: 0.66 and 0.68,respectively.
When I say close to each other I mean attached/stitched. I attach an example regarding what I would like to have.

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Réponse acceptée

Yazan le 22 Juil 2021
Modifié(e) : Yazan le 22 Juil 2021
The first column in the txt files you provided is a DateTime vector, so again, I am not able to understand how ϕ is defined. I will assume that the seconds in the DateTime vector represent ϕ.
clc, clear, close all
% read data
opts = detectImportOptions('CH4_NO_PILOT_RE_10K_PHI_066.txt');
opts.VariableNames = {'Time', 'Amp'};
opts.DataLines = [5 inf];
ch1 = readtable('CH4_NO_PILOT_RE_10K_PHI_066.txt', opts);
ch2 = readtable('CH4_NO_PILOT_RE_10K_PHI_068.txt', opts);
% get the time instants at which the signal is sampled
ch1.Time = seconds(ch1.Time - ch1.Time(1));
ch2.Time = seconds(ch2.Time - ch2.Time(1));
% sampling period
Ts = ch1.Time(2) - ch1.Time(1);
% downsample by a factor of 5 to reduce the number of datapoints
% this part can be skipped
sig1 = resample(ch1.Amp, 1, 5);
sig2 = resample(ch2.Amp, 1, 5);
Ts = Ts*5;
% histogram computation
[sp1, f, t] = pspectrum(sig1, 1/Ts, 'spectrogram', 'OverlapPercent', 25, 'Leakage', 0.8);
sp2 = pspectrum(sig2, 1/Ts, 'spectrogram', 'OverlapPercent', 25, 'Leakage', 0.8);
% append the second histogram with the first
spTot = pow2db([sp1, sp2]); t = [t; t]; Nt = length(t)/2;
% plot
ax = axes(gcf);
imagesc(1:2*Nt, f./1000, spTot);
cb = colorbar; axis xy
% label the x-axis as phi (usually it should be time)
xlabel('\phi', 'FontSize', 15),
% label the other axes
ylabel('Frequency (KHz)', 'FontSize', 15)
cb.Label.String = 'Power (dB)';
% change the x-axis ticks
ax.XTick = Nt*(0.5:0.5:2);
ax.XTickLabel = arrayfun(@(x) num2str(x), t(ax.XTick), 'UniformOutput', false);
% vertical line to separate the two histograms
xline(Nt, 'LineWidth', 3, 'LineStyle', '--', 'Color', 'r')
% annotate the figure
annotation('textbox', 'Position', [0.18,0.8,0.22,0.1], 'String', 'Histogram 1',...
'FontSize', 15)
annotation('textbox', 'Position', [0.5,0.8,0.22,0.1], 'String', 'Histogram 2',...
'FontSize', 15)
  3 commentaires
Francesco Pignatelli
Francesco Pignatelli le 22 Juil 2021
Now it is perfect! Thank you very much for your help Yazan, I really appreciate it :)
I hope to "meet" you again in this MATLAB comunity. Bye :)

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Plus de réponses (1)

Chunru le 22 Juil 2021
% Assume there are 3 spec (corresponding to phi)
nf = 20; nt=15; nspec = 3;
sp = randn(nf, nt, nspec);
% reshape the spectrogram to 2D
sp = reshape(sp, [nf, nt*nspec]);
% multiple spectrograms
% annotation
h = gca;
h.XTick = 0.5+(0:nspec-1)*nt;
h.YTick = [];
grid on
phi = [1.2 3.4 5.6];
h.XTickLabel = string(phi);
  1 commentaire
Francesco Pignatelli
Francesco Pignatelli le 22 Juil 2021
Hello Chunru, thank you very much for your efforts, I really appreciate it :)

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