Reply-To: "Kevin Aylward"
From: "Kevin Aylward"
Subject: Re: How does a mixer work?
X-Newsreader: Microsoft Outlook Express 6.00.2800.1106
Date: Wed, 23 Oct 2002 18:17:10 +0100
NNTP-Posting-Date: Wed, 23 Oct 2002 19:08:37 BST
"JD" wrote in message
> "Kevin Aylward" wrote in message
> > "John S. Dyson" wrote in message
> > news:felt9.436$S4.email@example.com...
> > >
> > > "Dbowey" wrote in message
> > news:firstname.lastname@example.org...
> > > I am NOT making the cosmological assertion that everything is
> > > an f(t) or other such off-topic concerns, but am clearly stating
> > much
> > > of our real-world that we normally see (in the sense of this
> > discussion)
> > > is an f(t). f(w) or f(s) is a convienience, where nonlinear
> > operations
> > > or changing signal characteristics can cause some traps and/or
> > pitfalls
> > > for those who don't deal with the stuff all of the time.
> > I disagree that one view is more real then another. Models of
> > are just that models, f(t) is no more valid then any other model.
> Using LINEAR transforms for modeling nonlinear processes is where
> the incompetency resides.
This simple is not true. Nonlinear processes just make it a bit more
complicated. The issue is one of a fundermental nature, ireespectibe of
whether the system is complicated or not. "scientific theories are the
free creation of the human mind" - Albert Einstien.
> In the case of devices that are nonlinear
> in the (t) domain, it isn't useful to think in the linear f(w) domain.
I think there is some misunderstanding here. Sure, if you apply signals
to non-linear systems, you can not analyse them in the same was as
linear systems. However, if there is a *given* signal in a time domain,
i.e. it looks all squiggerly and that, then it indeed has a Fourier
transform, irrespective if that signal is then applied to a non-linear
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