Timeline for Difference between Gaussian and moving average filters for peak detection and doppler shift detection?
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
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| Oct 6, 2016 at 15:42 | comment | added | DVG | I want to detect the peaks, then apply small windows on every part and figure out the frequency changes (Doppler shifts) for every part to figure out the direction of motion. I thought for the part of figuring out the Doppler shifts, using STFT would be a good idea... If you can give reference to some paper, that would also be really helpful. | |
| Oct 5, 2016 at 20:19 | comment | added | Laurent Duval | Do you want to detect the 50 something positive "peaks" of the signal? Do you want to apply a STFT after filtering? | |
| Oct 5, 2016 at 13:50 | comment | added | DVG | This is a signal I obtained from a mobile device, for a rotatory hand swipe motion. I am trying out different filters on it to figure out which could be good to get a smooth signal where detecting peaks would be very easy. I also want to find the micro-Doppler shifts from the signal. So, I do not wish to lose the information in the frequency domain when I apply short-time Fourier transform to the signal. I would like to know which filters are advisable to be tested on this ? | |
| Sep 29, 2016 at 13:13 | history | answered | Laurent Duval | CC BY-SA 3.0 |