Tsallis entropy measure of noise-aided information transmission in a binary channel |
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Authors: | Franç ois Chapeau-Blondeau,Agnè s DelahaiesDavid Rousseau |
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Affiliation: | Laboratoire d?Ingénierie des Systèmes Automatisés (LISA), Université d?Angers, 62 avenue Notre Dame du Lac, 49000 Angers, France |
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Abstract: | Noise-aided information transmission via stochastic resonance is shown and analyzed in a binary channel by means of information measures based on the Tsallis entropy. The analysis extends the classic reference of binary information transmission based on the Shannon entropy, and also parallels a recent study based on the Rényi entropy. The conditions for a maximally pronounced stochastic resonance identify optimal Tsallis measures. The study involves a correspondence between Tsallis and Rényi information measures, specially relevant to the characterization of stochastic resonance, and establishing that for such effects identical properties are shared in common by both Tsallis and Rényi measures. |
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Keywords: | Stochastic resonance Tsallis entropy Information measure Noise Binary channel Physics of information |
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