[David Nebenzahl]

On 10/24/2009 4:19 PM Im_Beta_00 spake thus:

I was planning on using the Boolean XOR function to extract the noise;
performing the function twice, just happens to return the sound to its
original state:

A=Input#1 (mic pointed north) is the cast's dialog, up close from a boom
B=Input#2 (mic pointed directly east) is the cast's dialog from a
cross-direction, about 10 feet away
C=Input#3 (mic pointed directly west) is the noise of the traffic

I am relying on the following formula:

D = B XOR C

and once you have done that, the following formulas will work:

B = C OR D
C = B OR D

Ah, I can see you've been seduced by an elegant, simple, "foolproof"
construct. A totally theoretical one.

First of all, I don't see where you get this XOR nonsense. I believe the
"formula" whose spell you've come under is this:

[S + N] - N = S

where S is the signal you want and N is the noise you want.

In theory--in *theory*--you can take the first term (the recording of
the signal with the background noise), subtract the second term (the
background noise), and end up with a perfect recording of the signal only.

[And technically, you wouldn't XOR the data: you'd use a simple
subtraction operation to remove the noise (or an inversion and addition
if you prefer).]

In your dreams, unfortunately.

As Mr. Crowley and others have been trying to express to you, this
simply won't work. Has been attempted by many with more knowledge,
experience and $$$ than you, and failed.

The only way this could work would be if you could somehow get an
*absolutely perfect* copy of the noise to be removed from the
signal+noise recording. But of course that is impossible.

Do you understand this now?


--
Found--the gene that causes belief in genetic determinism