You are right Grant....that is yet another method. And indeed the methods
are very numerous.
But it is still not the one I was talking about which uses no spectral
filters, dynamic or otherwise.
It simply divides the incoming data stream into a series string of packets
and decides whether each packet or sample is correlated to those coming
immediately adjacent to it. If yes, the packet is retained. If no, the
packet of data is discarded.
After this decimation, as you might call it, the remaining packets are
converted back to analog form, and thus re-create the sound, minus the
offending data.
As to what I am trying to prove - nothing. This is just a way in which DSP
can be done, and it does not work by using any sort of spectral information
or filters. I've noticed that many here are not familiar with this
approach.
73 de Gary, AA2IZ
----- Original Message -----
From: "Grant Youngman" <nq5t@comcast.net>
To: "'Discussion of Ten-Tec Equipment'" <tentec@contesting.com>
Sent: Thursday, May 04, 2006 1:18 AM
Subject: Re: [TenTec] 2.033
> > work.) My DSP theory is not fresh in my memory any more, but the
> > discussions here about DSP only being a narrow filter does
> > not map with my experience in DSP. Maybe it's old knowledge,
> > but BW filtering doesn't get the entire job done, it seems to me.
>
> A common DSP algorithm as might be found in many amateur devices for noise
> reduction uses autocorrelation to identify the primary spectral
components,
> and then adapts dynamic filters around those components. That should
sound
> pretty familiar. It isn't really a one or the other situation. And
> autocorrelation isn't the only method for spectral estimation.
>
> There are as many fancy algorithms around as there are graduate students
> working on dissertations in the area, speech-recognition companies trying
to
> get a leg-up on the competition regards recognition accuracy in noisy
> places, and on and on.
>
> Grant/NQ5T
>
>
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>
>
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