Hi Everyone,

I am an engineer chiming in.

I have used this technique to clean up a signal.  Technically, it is pretty 
simple to subtract out a "noise" signal.
The hard part is getting a signal which is the exact "noise" you want to 
subtract.  By exact I mean it has
the equivalent gain, and timing and spectral content.  If it is in the same 
frequency band as the target signal things
get more difficult in a hurry.  Does anyone have multiple channel 
recordings where the noise shows more prominently
on one channel while the target bird shows better on another channel?  I 
have Labview and can read *.wav files.  I would
be willing to spend some time messing with this if someone can provide a 
appropriate file.

TomF
retired Cornell Bioacoustics Engineer.


At 01:00 AM 8/22/2009 -0400, you wrote:
>Okay, last post for the night....
>
>The more I read about this, the more and more it sounds really cool.
>
>So, you software and hardware engineer people out there - what do you 
>think? Can it work to better clean up night flight call data collection? 
>Heck, this could get you closer to that 90-95% positive detection figure 
>we'd all like to see.
>
><http://plaza.ufl.edu/badavis/EEL6502_Project_1.html>http://plaza.ufl.edu/badavis/EEL6502_Project_1.html
>
>Sincerely,
>Chris T-H
>
>Chris Tessaglia-Hymes wrote:
>>I think the idea with adaptive noise cancellation is this:
>>
>>you have a dual microphone system. One channel is the primary channel 
>>(collecting the target sounds). The second channel is the "noise 
>>collection" channel. Through some mathematical algorithms, you subtract 
>>the noise collected in the "noise" channel from the primary channel 
>>(e.g., a different microphone aimed at collecting the cricket sounds or 
>>the katydid sounds, perhaps using a slightly lower gain setting, so as 
>>not to pick up distant flight calls being collected in the primary 
>>channel). The resulting signal in the primary channel should have reduced 
>>cricket and katydid sounds. Well, that's the theory, I guess.
>>
>>Here's an older paper abstract from 1975. Current technology can probably 
>>do this adaptive noise filtering in very real-time.
>>
>><http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1451965>http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1451965
>>
>>Sincerely,
>>Chris T-H


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