Timeline for Combining spectrograms with different windows to getting arbitrary time and frequency resolution
Current License: CC BY-SA 3.0
6 events
when toggle format | what | by | license | comment | |
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Aug 3, 2020 at 11:07 | comment | added | MSalters | One reasonable alternative is take the STFT's of length L every L/2 samples. That is to say, make the windows overlap. The window function applied will tend to 0 near the edges of the windows, so using this hop size of L/2 helps to ensure that each sample will be close to the middle of at least one STFT. This effectively doubles the temporal resolution without a loss of frequency resolution. | |
Oct 31, 2017 at 14:41 | answer | added | Laurent Duval | timeline score: 2 | |
Oct 31, 2017 at 9:05 | comment | added | Olli Niemitalo | You could even take it to the next level and analyze the data for chirps so that you have high resolution on rising and falling frequencies. Those are smudged by STFT of any window size. | |
Oct 31, 2017 at 7:53 | answer | added | hotpaw2 | timeline score: 1 | |
Oct 31, 2017 at 3:36 | review | First posts | |||
Nov 1, 2017 at 0:23 | |||||
Oct 31, 2017 at 3:30 | history | asked | user3768533 | CC BY-SA 3.0 |