I believe the appearance of a paradox lies in alternatate uses of the
words "information" or "informative".

Shannon was right that a white-noise-like signal contains the most
information content. If the signal were truly generated from a random
process, then this may seem odd, but the observer of the signal cannot
know if it is a truly random string, or just an optimally compressed
message. In fact, an optimally compressed message is indistinguishable
from a truly random string (otherwise it could be compressed further).

If one knows the underlying process generating the signal, one might try
to characterize the "structure" or "complexity" or "randomness" of the
signal -- there are various ways to define all of these charactertistics.  
This is an approach taken in the complex systems literature (see, for
example, http://www.santafe.edu/sfi/publications/wpabstract/199707064),
and I believe also in CS theory (see, for example, L. Antunes, L.  
Fortnow, and D. van Melkebeek. Computational depth. In Proceedings of the
16th IEEE Conference on Computational Complexity, pages 266-273. IEEE, New
York, 2001. http://external.nj.nec.com/homepages/fortnow/papers/depth.ps).
Usually they strive to define complexity to be minimum both for simple
patterns and for purely random strings, with maximum complexity falling
somewhere in between, which is more along the lines of your first
intuition of "informative signals" as "one which contains patterns".

Hope this helps,
Dave

On Mon, 28 Oct 2002, Rizwan Choudrey wrote:

> Dear all,
> 
> I wondered if anyone could help with a paradox at the heart of my
> understanding of entropy, information and pattern recognition.
> 
> I understand an informative signals as one which contains patterns, as
> opposed to radomly distributed numbers e.g. noise. Therefore, I
> equate information with structure in the signals distribution. However,
> Shannon equates information with entropy, which is maximimum when each
> symbol in the signal is equally as likely as the next i.e. a distribution
> with no `structure'. These views are contradictory.
> 
> What am I misisng in my understanding?
> 
> Many thanks in advance,
> Riz
> 
> 
> Rizwan Choudrey
> Robotics Group
> Department of Engineering Science
> University of Oxford
> 07956 455380
> 

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