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From: Chuck Simmons
Organization: You jest.
X-Mailer: Mozilla 4.61 [en] (X11; U; Linux 2.0.33 i586)
Subject: Re: How does a mixer work?
References: <firstname.lastname@example.org> <email@example.com> <3DB88D9C.50F75FA0@webaccess.net> <0f5u9.161$OM6.firstname.lastname@example.org> <3DB93622.BB09A3DB@webaccess.net> <3DB94D04.9D42B3C@webaccess.net>
Date: Fri, 25 Oct 2002 15:53:19 GMT
NNTP-Posting-Date: Fri, 25 Oct 2002 08:53:19 PDT
Kevin Aylward wrote:
> "Chuck Simmons" wrote in message
> > Kevin Aylward wrote:
> > >
> > > Yes, the Fourier transform is well defined, i.e. F(f(t)).
> > > The standard deviation is well defined Sd(x)
> > By standard deviation, do you mean L2 metric distance rather than the
> > usual meaning from probability? If so, is there any particular reason
> > why you could not say that you mean L2 metric distance?
> Its standard practise in signal information theory to call it the
> standard deviation.
> No idea what L2 means. I know what a metric is though:
> ds^2 = dx^2 + dy^2 dz^2 -c^2.dt^2
> >I don't
> > personally refer to L2 metric distance as standard deviation. It
> r.m.s. width if that helps you any.
> (rms width of the time pulse)*(rms width of the fourier transform of
> time pulse)>=1/2
That's an L2 metric distance although "rms width of the time pulse" is
very ambiguous. Is this to be construed as a measurement of the half
power width of the pulse or what? Do I integrate in y to obtain it? Your
reference 2 states that the definition of delta t is arbitrary you might
... The times have been,
That, when the brains were out,
the man would die. ... Macbeth
Chuck Simmons email@example.com
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