[sdiy] VERY cool/bizarre: Buchla noise
Richard Wentk
richard at skydancer.com
Thu Sep 30 02:10:14 CEST 2004
At 23:28 29/09/2004 +0000, jblippard at comcast.net wrote:
>I think I respectfully disagree. If you are given the value contained in
>the shift register at some arbitrary time, you will be able to predict the
>next output value with 100% confidence, regardless of the register
>length. Of course, a long enough register won't repeat anytime soon (or
>anytime for a long while). But it's not random.
You're confusing two elements of randomness here - the process, and the
perception. If you *didn't* know the values in the shift register and the
logic network around it, the bit pattern that falls out is random, in the
sense of being uncorrelated, to a very good approximation.
The fact that it's not truly random is why it's called a pseudo-random
process. But functionally you can use the output in the same way you can
use a truly random process. Perceptually, given a certain useful entropy
requirement, they're identical. The fact that the pattern is completely
deterministic only matters if you can reverse engineer the process from
that pattern.
Of course it's possible to imagine a pattern search which tries to
correlate a sequence with known pseudo-random sequences to give you the
process. It's less easy to imagine situations where you'd need or want to
do this. ;-)
>But it makes me wonder, is any finite bandwidth device truly random? If
>we had an exact quantum description of a the state of a noise-generating
>transistor, couldn't we (with enough computing power) make some educated
>assertions about the probability of how that noise value would change in
>the next (arbitrarily small) time unit?
No, because quantum uncertainty is *truly* random. The quantum description
defines a probability envelope, but what happens within that envelope is
completely unpredictable.
>I guess the question my vague second paragraph is asking is this: does
>true randomness need to be 100% unpredictable? Or is it random enough
>when the probability of a predicted value being so close to the actual
>value that we can't measure the difference is equal to the probability of
>the prediction being off by a detectable margin (i.e., only 50% predictable)?
Depends on the context. For some jobs - e.g. encryption - you want
pseudo-randomness, because it means you can decode a message with a
key/seed. But attempting a decrypt without a key is computationally
impractical, and this makes the message secure.
For synthesis, the randomness doesn't really need to be all that random. A
repeat time of a few tens of seconds is usually more than enough as a noise
source. Even if you sample it with an S&H, you'll get a (near) perfectly
random output just by making sure there's no correlation between the S&H
clock and the noise clock.
I think a module which let you control the shift register rate and perhaps
also feedback length/pattern under voltage control would be an interesting
thing.
Richard
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