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A spectrogram is a time-varying spectral representation (forming an image) that shows how the spectral density of a signal varies with time.
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Spectrogram of a chirp and its FFT
This question follows from an answer to this other question: Conceptual question on FFT and chirp signal
I wrote a code starting from the spectrogram to compare it with the FFT result. … My qyestion is: shouldn't the spectrogram and the FFT have the same amplitude variation? …
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Spectrogram of a shock event
I therefore thought about computing the spectrogram of my time histories to check the frequency content.
I am however not fully sure about what to look for. …
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Obtain the frequency response of a time domain chirp signal
Therefore I used the spectrogram in this way:
% Resample at a constant sampling frequency
dt = 0.0001;
t0 = time(1);
tend = time(end);
new_t = t0:dt:tend;
Fs = 1/dt;
acce_TS = timeseries(acce_cog,time … );
acce_res = resample(acce_TS,new_t);
% Spectrogram
win = hamming(256);
noverlap = 0;
nfft = 512;
X = abs(spectrogram(acce_res.data, win, noverlap, nfft,Fs));
X = 2*X/sum(win);
surf(X)
And here come …