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Subject: Re: How does a mixer work?
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Date: Wed, 23 Oct 2002 21:09:31 -0500
NNTP-Posting-Date: Wed, 23 Oct 2002 20:45:53 EST
"Kevin Aylward" wrote in message
> "JD" wrote in message
> > "Kevin Aylward" wrote in message
> > news:Lkrt9.510$Af5.firstname.lastname@example.org...
> > > "John S. Dyson" wrote in message
> > > news:felt9.436$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.
The fundamental nature is usually where the problem can be clearly
explained. Fourier domain is not such a place for our nonlinear
and chaotic world. There certain are frequency domain models for
visualization, but they are approximations to the time domain (which
might be approximations of something further down.)
You can keep on special casing the Fourier and Laplace world to make
it fit into the nonlinear dynamics in the time domain, but all you'll get
is a slowly improving piecewise model of the f(t), sometimes after
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