Finding a specific amplitude-frequency in the time domain

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SUMMARY

This discussion focuses on identifying specific time zones in a signal where a particular frequency occurs, utilizing Fast Fourier Transform (FFT) results obtained through MATLAB. The user, Behrouz, seeks methods to pinpoint instances of low frequencies with high amplitudes in the time domain. The provided MATLAB code demonstrates the application of FFT on a dataset, highlighting the need for further techniques to analyze the time-domain representation of the signal.

PREREQUISITES
  • Understanding of Fast Fourier Transform (FFT) in signal processing
  • Familiarity with MATLAB programming and its signal processing toolbox
  • Knowledge of amplitude-frequency characteristics in signals
  • Concept of Short-Time Fourier Transform (STFT) for time-frequency analysis
NEXT STEPS
  • Research methods for implementing Short-Time Fourier Transform (STFT) in MATLAB
  • Learn how to extract time-domain features from FFT results
  • Explore MATLAB functions for peak detection in signal analysis
  • Investigate techniques for filtering and isolating specific frequency components in signals
USEFUL FOR

Signal processing engineers, MATLAB users, and researchers analyzing time-frequency characteristics in signals will benefit from this discussion.

Behrouz
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Hello,

I have a signal and got the FFT result of that. I have shown them both below along with the MATLAB code.

May I ask if there is any method to find the time zone(s) in the signal that a specific frequency has(have) happened?

The reason I'm asking this is that I want to specify the time that I had a (specific) low frequency with a (specific) high amplitude.
Code:
%% apply fft on the csv and plot the result

nfft = length(M);

nfft2 = 2^nextpow2(nfft);

ff = fft(M, nfft2);

fff = ff(1:nfft2/2);

stem(abs(fff));

uc?id=1Ps_ewvEN6HIb2z9CS7gGiEnNI3GP4mts.png

uc?id=1W-38kvWD1hDHxxsU9rRDILzKHH8Wb8bP.png


Any advice would be greatly appreciatd.

Regards,
Behrouz
 

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