Algebraic information theory and stochastic resonance for binary-input binary-output channels
Ira S. Moskowitz, Paul Cotae, Pedro N. Safier
Abstract
Ira S. Moskowitz, Paul Cotae, Pedro N. Safier
Abstract
In this paper, we analyze the information theoretic aspects of the phenomenon of stochastic resonance in terms of the algebraic properties of the channel matrix. The binary-input binary-output channel model under discussion is a threshold system. We offer an algebraic view of Kosko's Forbidden Interval Theorem, and extend his result in certain cases.
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In this paper, we analyze the information theoretic aspects of the phenomenon of stochastic resonance in terms of the algebraic properties of the channel matrix. The binary-input binary-output channel model under discussion is a threshold system. We offer an algebraic view of Kosko's Forbidden Interval Theorem, and extend his result in certain cases.
Key concepts: Binary number, Algebraic number, Interval (graph theory), Stochastic resonance, Channel (broadcasting), Resonance (particle physics), Binary symmetric channel, Matrix (chemical analysis)