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Accession Number ADA580143
Title Capacity Bounds and Stochastic Resonance for Binary Input Binary Output Channels.
Publication Date Jan 2012
Media Count 8p
Personal Author D. L. Kang I. S. Moskowitz P. Cotae P. N. Safier
Abstract In this paper, we discuss the threshold based stochastic resonance behavior of binary input, binary output discrete memoryless channels. We follow the basic model of Chapeau-Blondeau where he showed how the addition of external Gaussian noise could enhance channel capacity, thus providing an optimum channel capacity depending on both the threshold level and noise power of the system. In order to easily approximate channel capacity behavior, we use capacity bounds and approximations.
Keywords Binary input binary output channels
Biocomputing
Biomedical information systems
Capacity(Quantity)
Computer and network security
Medical applications and e-healthcare
Resonance
Stochastic processes
Symposia
Systems security and trust
Threshold effects


 
Source Agency Non Paid ADAS
NTIS Subject Category 72B - Algebra, Analysis, Geometry, & Mathematical Logic
72F - Statistical Analysis
Corporate Author District of Columbia Univ., Washington.
Document Type Technical report
Title Note Conference paper.
NTIS Issue Number 1325
Contract Number W911NF-11-1-0144

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