From dawagner@tucson.princeton.edu Tue Mar 21 15:23:47 EST 1995
Article: 33479 of sci.crypt
Newsgroups: sci.crypt
Path: princeton!tucson.princeton.edu!dawagner
From: dawagner@tucson.princeton.edu (David A. Wagner)
Subject: Statistically distinguishing two random sources
Message-ID: <1995Mar21.201232.22137@Princeton.EDU>
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Date: Tue, 21 Mar 1995 20:12:32 GMT
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I'm sure this must be completely solved already somewhere...
I have two memoryless random sources outputting b-bit chunks:
one has the uniform distribution on {0,1}^b, and the other
has some known distribution. I flip a coin, pick one of the
two sources, and give you lots of outputs from that source.
Assume you know the distribution of both sources, and think
of b as small -- maybe 5 or 10.
Roughly how many outputs do you need to distinguish the two
sources with high probability? (in terms of their distributions)
What algorithm would you use to actually do this?
[I guess I'm looking for some sort of measure of the distance
between the two random sources.]