Estimate area from spectrogram

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carola forlini
carola forlini 2022 年 4 月 4 日
コメント済み: Star Strider 2022 年 4 月 5 日
I generated a spectrogram of a signal and now I want to estimate the area of a certain region selected on the spectrogram.
Firstly, how can I obtain the Z component of the area selected using the function 'getline'?
Secondly, how can I calculate the area of the region selected? Should I use the function 'trapz'?
Thank you,
Carola

採用された回答

Star Strider
Star Strider 2022 年 4 月 4 日
When I last looked, the spectrogram plot is actually a surf plot viewed from the top.
All the information is available in the spectrogram plot. You need to request it in order to plot it separately —
t = linspace(0,10,500);
Fs = 1/(t(2)-t(1));
s = sum(sin(2*pi*[1; 10; 20]*t));
figure
spectrogram(s,[],[],2^16,Fs,'yaxis')
colormap(turbo)
figure
[s,w,t] = spectrogram(s,[],[],2^16,Fs,'yaxis')
s =
-0.1496 + 0.0000i -0.2058 + 0.0000i -0.2688 + 0.0000i -0.0896 + 0.0000i 0.0432 + 0.0000i 0.4554 + 0.0000i 0.2580 + 0.0000i -0.1495 + 0.0010i -0.2058 + 0.0010i -0.2688 + 0.0012i -0.0896 + 0.0007i 0.0432 + 0.0006i 0.4554 - 0.0020i 0.2580 - 0.0019i -0.1495 + 0.0019i -0.2058 + 0.0020i -0.2687 + 0.0024i -0.0895 + 0.0014i 0.0432 + 0.0011i 0.4553 - 0.0039i 0.2579 - 0.0038i -0.1494 + 0.0029i -0.2057 + 0.0031i -0.2686 + 0.0035i -0.0895 + 0.0021i 0.0432 + 0.0017i 0.4552 - 0.0059i 0.2578 - 0.0057i -0.1494 + 0.0038i -0.2056 + 0.0041i -0.2685 + 0.0047i -0.0895 + 0.0028i 0.0432 + 0.0023i 0.4550 - 0.0079i 0.2577 - 0.0076i -0.1492 + 0.0048i -0.2054 + 0.0051i -0.2684 + 0.0059i -0.0894 + 0.0035i 0.0431 + 0.0029i 0.4548 - 0.0098i 0.2575 - 0.0095i -0.1491 + 0.0057i -0.2052 + 0.0061i -0.2682 + 0.0071i -0.0893 + 0.0042i 0.0431 + 0.0034i 0.4546 - 0.0118i 0.2573 - 0.0114i -0.1490 + 0.0067i -0.2050 + 0.0071i -0.2680 + 0.0082i -0.0893 + 0.0049i 0.0431 + 0.0040i 0.4543 - 0.0137i 0.2570 - 0.0133i -0.1488 + 0.0076i -0.2047 + 0.0081i -0.2678 + 0.0094i -0.0892 + 0.0056i 0.0430 + 0.0046i 0.4540 - 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2.2629i -0.5972 - 3.7394i 2.2049 - 3.1168i 3.7490 - 0.8156i 3.2840 + 2.1468i 0.7673 + 3.7566i -3.7527 + 0.4400i -2.9999 - 2.2600i -0.6196 - 3.7586i 2.2020 - 3.1472i 3.7664 - 0.8402i 3.3140 + 2.1419i 0.7916 + 3.7741i -3.7730 + 0.4635i -3.0292 - 2.2570i -0.6421 - 3.7777i 2.1988 - 3.1777i 3.7836 - 0.8651i 3.3441 + 2.1367i 0.8161 + 3.7915i -3.7932 + 0.4872i -3.0586 - 2.2537i -0.6649 - 3.7967i 2.1954 - 3.2084i 3.8007 - 0.8902i 3.3743 + 2.1313i 0.8409 + 3.8088i -3.8133 + 0.5111i -3.0881 - 2.2502i -0.6879 - 3.8157i 2.1918 - 3.2391i 3.8178 - 0.9155i 3.4045 + 2.1257i 0.8658 + 3.8260i -3.8333 + 0.5353i -3.1177 - 2.2466i -0.7112 - 3.8346i 2.1879 - 3.2700i 3.8348 - 0.9410i 3.4349 + 2.1199i 0.8910 + 3.8432i
w = 32769×1
0 0.0008 0.0015 0.0023 0.0030 0.0038 0.0046 0.0053 0.0061 0.0069
t = 1×7
1.1122 2.2345 3.3567 4.4790 5.6012 6.7234 7.8457
colormap(turbo)
figure
surf(t,w,abs(s), 'EdgeColor','none')
xlabel('Time (s)')
ylabel('Frequency (Hz)')
zlabel('|s|')
colormap(turbo)
view(30,30)
.
  2 件のコメント
carola forlini
carola forlini 2022 年 4 月 4 日
Thank you for your reply.
Which function you suggest in order to evaluate the area of a certain area from the spectrogram? Trapz?
Star Strider
Star Strider 2022 年 4 月 5 日
My pleasure!
Yes, trapz.
Choose a value for either time or frequency, and integrate along that coordinate.

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