Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1998-06-03
Physics
Condensed Matter
Disordered Systems and Neural Networks
Latex 4 pages with 1 figure, using RevTex
Scientific paper
We report a simple extension of a model for noise reduction in signal processing, already introduced by Mourik et al., in the presence of binary coupling vectors, which turns to be more useful for practical and engineering implementations. We also compute annealed approximation which gives an upper bound of the correct critical number of noise-sources. Finally, we also find that the full RSB Parisi solution just above the AT line is an universal function for any symmetric distribution of the coupling vectors.
Carlucci Domenico M.
Inoue Jun'ichi
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