Title :
Enhanced information transmission with generalized Gaussian signal via suprathreshold stochastic resonance
Author :
Liyan Xu;Fabing Duan;Yuhao Ren;Derek Abbott
Author_Institution :
Institute of Complexity Science, Qingdao University, Qingdao 266071, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
We investigate the noise-enhanced information transmission with generalized Gaussian signal via the measure of mutual information, in context of suprathreshold stochastic resonance (SSR). The effects of the noise intensity and the exponent parameter of the input signal on mutual information are discussed. It is shown that the qualitative behavior of SSR does not depend on the actual signal and noise distribution. However, it is found that the exponent parameter of the generalized Gaussian signal distribution has a crucial effect on the position or the maximum value of the mutual information.
Keywords :
"Stochastic resonance","Mutual information","Information processing","Gaussian noise","Fluctuations","Noise measurement"
Conference_Titel :
Noise and Fluctuations (ICNF), 2015 International Conference on
DOI :
10.1109/ICNF.2015.7288631