On Sat, Jun 29, 2013 at 06:13:19PM -0700, Robert Greene wrote:
 
> I do not understand the last bit of this message below at all.
> There is no such thing as a signal that is limited
> in bandwidth and in time--not if limited
> means actually 0 outside a finite interval
> in both cases. This is a basic result of Fourier
> analysis.
> This kind of signal does not exist, not mathematically
> and of course not physically either.

True of course. But in practice you can get as close 
as you want, and we do this all the time and just
ensure that the remaining errors are small enough to
be of no consequence. 

None of the digital audio equipment we use would be 
able to work if it had 'perfect' antialias filters 
for example, it would take infinite time to convert
the first sample.


The thing I wanted to point out was the duality
between:

A. If a signal is limited in the F domain it can be
   represented by samples in the T domain (Nyquist),
  
and

B. If a signal is limited in the T domain it can be
   represented by samples in the F domain (i.e. by
   a discrete spectrum).
  
In both cases there is the implicit assumption that
the 'other' domain is infinite.

For (A) we accept some aliasing in the F domain but
outside the audible band. For (B) we have to accept
some leakage in the T domain, which would show up
as small errors near the start and end of the time
interval.


Ciao,

-- 
FA

A world of exhaustive, reliable metadata would be an utopia.
It's also a pipe-dream, founded on self-delusion, nerd hubris
and hysterically inflated market opportunities. (Cory Doctorow)

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