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» Extracting Randomness Using Few Independent Sources
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ICA
2004
Springer
13 years 10 months ago
Analytical Solution of the Blind Source Separation Problem Using Derivatives
In this paper, we consider independence property between a random process and its first derivative. Then, for linear mixtures, we show that cross-correlations between mixtures and...
Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, ...
ECCC
1998
80views more  ECCC 1998»
13 years 4 months ago
Extracting All the Randomness from a Weakly Random Source
In this paper, we give two explicit constructions of extractors, both of which work for a source of any min-entropy on strings of length n. The rst extracts any constant fraction ...
Salil P. Vadhan
FOCS
2000
IEEE
13 years 9 months ago
Extracting Randomness from Samplable Distributions
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
Luca Trevisan, Salil P. Vadhan
COCO
2006
Springer
100views Algorithms» more  COCO 2006»
13 years 8 months ago
How to Get More Mileage from Randomness Extractors
Let C be a class of distributions over {0, 1}n . A deterministic randomness extractor for C is a function E : {0, 1}n {0, 1}m such that for any X in C the distribution E(X) is sta...
Ronen Shaltiel
VTS
2003
IEEE
127views Hardware» more  VTS 2003»
13 years 10 months ago
Bist Reseeding with very few Seeds
Reseeding is used to improve fault coverage of pseudorandom testing. The seed corresponds to the initial state of the LFSR before filling the scan chain. The number of determinist...
Ahmad A. Al-Yamani, Subhasish Mitra, Edward J. McC...