On Mon, Jun 13, 2011 at 17:06, Marcus D. Leech
<address@hidden> wrote:
As long as overruns aren't happening *frequently* (like more than once every few dozen higher-layer-data-frames), then one can regard
such interrupts in data flow as equivalent to channel noise, which is something you have to cope with *regardless*--even if your
sample stream is "perfect".
In fact, if your channel model makes brash assumptions like the only "noise" will be from the "natural physics" of the channel, then you've
already entered a state of sin. In general, radio channels aren't well-behaved with regard to "goop" on the channel, and I regard sampling
overruns, at a 10,000ft level, as broadly-equivalent to "channel goop".