Howtosignalprocessing
- How do you choose spectrogram parameters?
- How do I choose a FFT size?
- How do you find the resolution of a spectrogram?
- How do you read a spectrogram graph?
How do you choose spectrogram parameters?
In general, narrow bandwidths should be chosen if the signal to be analyzed does not have quick frequency modulations and if there is no important information in the time domain. In contrast, wide bandwidths should be chosen if there is any remarkable frequency modulation or if there are important temporal patterns.
How do I choose a FFT size?
The frequency resolution is equal to the sampling frequency divided by FFT size. For example, an FFT of size 256 of a signal sampled at 8000Hz will have a frequency resolution of 31.25Hz. If the signal is a sine wave of 110 Hz, the ideal FFT would show a sharp peak at 110Hz.
How do you find the resolution of a spectrogram?
Resolution The frequency resolution depends on the FFT length and the sampling frequency of the sound file. In contrast to the bandwidth, the frequency resolution corresponds to the height of one pixel of the spectrogram (frequency bin width = sample rate / FFT length).
How do you read a spectrogram graph?
In the spectrogram view, the vertical axis displays frequency in Hertz, the horizontal axis represents time (just like the waveform display), and amplitude is represented by brightness. The black background is silence, while the bright orange curve is the sine wave moving up in pitch.
