Title :
Capacity bounds and stochastic resonance for binary input binary output channels
Author :
Moskowitz, Ira S. ; Cotae, Paul ; Safier, Pedro N. ; Kang, Daniel L.
Author_Institution :
Center for High Assurance Comput. Syst.-5540, Naval Res. Lab., Washington, DC, USA
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 :
Gaussian noise; MIMO communication; channel capacity; resonance; stochastic processes; wireless channels; Chapeau-Blondeau model; binary input binary output discrete memoryless channel; capacity approximation; capacity bound; external Gaussian noise; noise power; optimum channel capacity; threshold based stochastic resonance behavior; Approximation methods; Channel capacity; Neodymium; Noise; Random variables; Stochastic resonance; Bioinformatics and Biocomputing; Computer and Network Security; Medical Applications and e-healthcare; Systems Security and Trust;
Conference_Titel :
Computing, Communications and Applications Conference (ComComAp), 2012
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1717-8
DOI :
10.1109/ComComAp.2012.6154003
