Brett Yeah. I also forgot about the phase angle at a particular frequency . Why d= o you think a low pass rather than a=A0 notch filter, centered at the micro= seismic frequency zone, is used?. That way you aren't totally eliminating t= he higher frequencies and potentially the P an maybe S signals. That's the = beauty of winquake. You can play with the signal later.=20 Regards Barry http://www.seismicvault.com --- On Tue, 12/29/09, Brett Nordgrenwrote: From: Brett Nordgren Subject: Re: Sensor noise To: psn-l@.............. Date: Tuesday, December 29, 2009, 5:26 AM Hi Barry, Good try but, unfortunately, I don't think so. At 09:12 PM 12/28/2009 -0800, you wrote: > All > I have successfully used a running fft to sense signal frequency componen= t changes and used this as a trigger mechanism for an event. Could one use = the=A0 ( I guess you call it ) power spectrum of the signal just before and= during the event to remove the noise? I guess you would have to use the sa= me time window so the frequencies would compare. Could it be a simple subtr= action of the "before" from the "during"? This would assume that the backgr= ound noise didn't change in the period during an event. By its very nature, noise *is* changing....randomly.=A0 Its overall spectru= m may remain constant, but that is created by time-averaging a noise voltag= e which is constantly varying in an unpredictable way.=A0 A possible workin= g definition of noise would be 'that part of a signal which can not be pred= icted and subtracted out'. > This could be better than trying to shape a multi pole filter to eliminat= e the noise. I have found that often a portion of the event signal is in th= e same frequency range as the noise. To really reduce the noise to a minimum you have to have a quiet site and b= uild a quiet seismometer. For the noise that remains, filtering eliminates both noise and earthquake = signals.=A0 Hopefully, the worst noise will be at frequencies that are not = required to properly see the quakes.=A0 For the FBV we often filter out any= thing above 0.08 Hz, as that's where you find a lot of the noise, while muc= h of the motion from distant quakes will be below that frequency.=A0 ANMO i= n Albuquerque go even further with their Web display and filter at somethin= g like 0.05 Hz, and they sometimes don't show the higher-frequency quakes v= ery clearly that we can see fine. Regards, Brett Watch our wiggles http://bnordgren.org/seismo/gif_images.htm or watch some very very good wiggles http://aslwww.cr.usgs.gov/Seismic_Data/telemetry_data/ANMO_24hr.html __________________________________________________________ Public Seismic Network Mailing List (PSN-L)
Brett
Yeah. I also forgot about the phase = angle at a particular frequency . Why do you think a low pass rather than a= notch filter, centered at the microseismic frequency zone, is used?.= That way you aren't totally eliminating the higher frequencies and potenti= ally the P an maybe S signals. That's the beauty of winquake. You can play = with the signal later.
Regards
Barry
http://www.seismicvault.com
--- On Tue, 12/29/09, Brett Nordgren <brett3nt@bnordgr= en.org> wrote:
From: Brett Nordg= ren <brett3nt@.............>
Subject: Re: Sensor noise
To: psn-= l@..............
Date: Tuesday, December 29, 2009, 5:26 AMHi Barry,
Good try but, unfortunately, I don't = think so.
At 09:12 PM 12/28/2009 -0800, you wrote:
> All
&g= t; I have successfully used a running fft to sense signal frequency compone= nt changes and used this as a trigger mechanism for an event. Could one use= the ( I guess you call it ) power spectrum of the signal just before= and during the event to remove the noise? I guess you would have to use th= e same time window so the frequencies would compare. Could it be a simple s= ubtraction of the "before" from the "during"? This would assume that the ba= ckground noise didn't change in the period during an event.
By its v= ery nature, noise *is* changing....randomly. Its overall spectrum may= remain constant, but that is created by time-averaging a noise voltage whi= ch is constantly varying in an unpredictable way. A possible working = definition of noise would be 'that part of a signal which can not be predicted and subtracted out'.
> This could be better than tryin= g to shape a multi pole filter to eliminate the noise. I have found that of= ten a portion of the event signal is in the same frequency range as the noi= se.
To really reduce the noise to a minimum you have to have a quiet= site and build a quiet seismometer.
For the noise that remains, fil= tering eliminates both noise and earthquake signals. Hopefully, the w= orst noise will be at frequencies that are not required to properly see the= quakes. For the FBV we often filter out anything above 0.08 Hz, as t= hat's where you find a lot of the noise, while much of the motion from dist= ant quakes will be below that frequency. ANMO in Albuquerque go even = further with their Web display and filter at something like 0.05 Hz, and th= ey sometimes don't show the higher-frequency quakes very clearly that we ca= n see fine.
Regards,
Brett
Watch our wiggles
http= ://bnordgren.org/seismo/gif_images.htm
or watch some very very g= ood wiggles
http://aslwww.cr.usgs.gov/Seismic_Da= ta/telemetry_data/ANMO_24hr.html
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