Title :
Algebraic information theory and stochastic resonance for binary-input binary-output channels
Author :
Moskowitz, Ira S. ; Cotae, Paul ; Safier, Pedro N.
Author_Institution :
Center for High Assurance Comput., Naval Res. Lab., Washington, DC, USA
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.
Keywords :
channel capacity; matrix algebra; stochastic processes; Kosko forbidden interval theorem; algebraic information theory; binary-input binary-output channel model; channel capacity; channel matrix; stochastic resonance; threshold system; Channel capacity; Level set; Mutual information; Noise; Random variables; Strontium; Stochastic resonance; forbidden interval theorem; information theory;
Conference_Titel :
Information Sciences and Systems (CISS), 2012 46th Annual Conference on
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4673-3139-5
Electronic_ISBN :
978-1-4673-3138-8
DOI :
10.1109/CISS.2012.6310786
