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Mon Oct 8 00:26:37 CEST 2007

frequency decoding

for krikit, the choice to make is to either decode the whole spectrum
(listen to everything at once) or listen only to a single band. this
is a choice that has to be made early on.. some remarks.

* FFT + listening to all bands is probably overkill. it's not so
  straightforward to implement, so the benefits should be big. FFT for
  point-to-point makes only sense when combatting linear distortion.

* single frequency detection is really straightforward. the core
  routine is a MIXER followed by a complex LPF. the output is phase
  and amplitude.

* using a sliding window average LPF together with orthogonal
  frequencies allows for good channel separation. this works for
  steady state only, so some synchronization mechanism is necessary.

* sending out a single message to multiple frequencies: easy to do
  with pre-computed tables for 0 and 1. phase randomisation to avoid
  peaks is possible here.

* i'm afraid of linear distortion due to room acoustics.. maybe FM/FSK
  should be used?

* if non-linear distorition is not a problem, DTMF frequencies are not
  necessary.

* using exact arithmetic, it is easy to update/downdate a state vector
  for rectangular window LPF. this update can be performed at the
  input of the mixer.

* bandwidth limitation for transmission.

http://en.wikipedia.org/wiki/Olivia_MFSK





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