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For two hours today, I was calculating the inverse of a nasty non-continuous double-embed function (going from y = f(g(x)) to x = g-1(f-1(y))) for a patch for a programme misbehaving in certain cases of undersampling. Until I realised that a simple virtual (interpolated) oversampling of g(x) does the trick... Such analog thinking.

*Lunatic*, n.
One whose delusions are out of fashion.
by DoDo on Fri Oct 2nd, 2009 at 01:06:39 PM EST
You do realise how restricted the set is of people who remotely understand that, don't you ?

keep to the Fen Causeway
by Helen (lareinagal at yahoo dot co dot uk) on Fri Oct 2nd, 2009 at 01:45:41 PM EST
[ Parent ]
In layman terms: I attempted to solve a problem with a program (which processes digital data) by sitting down with a paper and pencil and doing elaborate calculations (that's "analog thinking"), while re-writing the code a bit (for finer digitisation) was the much simpler solution.

*Lunatic*, n.
One whose delusions are out of fashion.
by DoDo on Fri Oct 2nd, 2009 at 02:06:48 PM EST
[ Parent ]
Ah. thank you, all is clear ... as mud. :-))

keep to the Fen Causeway
by Helen (lareinagal at yahoo dot co dot uk) on Fri Oct 2nd, 2009 at 03:17:33 PM EST
[ Parent ]
You need to watch more re-runs of Star Trek, in order to pick up how Data learns from the other crewmembers how to play poker, chess, etc. His problem-solving strategies are applicable to physics and math problems also. Today it was "win by trying to get to a draw."
by asdf on Sat Oct 3rd, 2009 at 12:25:45 AM EST
[ Parent ]
know the feeling: brute force is surprisingly effective in signal processing.  I had a similar problem involving fractional delays which turned out to be easier by supersampling and downsampling than to use the standard approach.

A similar result led to the oversampled d2as widely used in audio now: much easier to oversample, filter digitally then use a simple analogue filter than to use a steep analogue filter directly.

by njh on Sat Oct 3rd, 2009 at 08:48:58 PM EST
[ Parent ]

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