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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 …
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