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We propose a method to determine single hyperspace vectors (product strings of noise-bits) by classical means with the same effectiveness as the results using time shifted noise-based logic. A system of binary linear equations based on the amplitudes of the hyperspace vector and the reference noise-bits is set up and solved after enough independent information is collected. The resulting error probability (the chance of getting no answer) has approximately an exponential decay with the time of measurement.

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We prove that the family of all invariant sets of iterated systems of contractions R" -^R^isa nowhere dense F a type subset in the space of the nonempty compact subsets of R equipped with the Hausdorff metric. An iterated function system (IFS for short) is a finite collection (Ti,...,T n ) of weak contractions of a metric space X. By a weak contraction we mean a mapping T:. Given a real number 0

No abstract