Internal noise stochastic resonance in CO oxidation on nm-sized palladium particles

2005 ◽  
Vol 48 (5) ◽  
pp. 395 ◽  
Author(s):  
Yubing GONG
2005 ◽  
Vol 401 (1-3) ◽  
pp. 307-311 ◽  
Author(s):  
Zhiwei Wang ◽  
Zhonghuai Hou ◽  
Houwen Xin

2013 ◽  
Vol 12 (03) ◽  
pp. 1350010 ◽  
Author(s):  
RAJIB KUMAR JHA ◽  
APOORV CHATURVEDI ◽  
RAJLAXMI CHOUHAN

In this paper, a dynamic stochastic resonance (DSR) based watermark detection technique in discrete wavelet transform (DWT) domain is presented. Pseudo random bit sequence having certain seed value is considered as a watermark. Watermark embedding is done by embedding random bits in spread-spectrum fashion to the significant DWT coefficients. Watermark detection is quantitatively characterized by the value of correlation. The performance of watermark detection is improved by DSR which is an iterative process that utilizes the internal noise present in the image or external noise which is added during attacks. Even under various noise attacks, geometrical distortions, image enhancement and compression attacks, the DSR-based random bits detection is observed to give noteworthy improvement over existing watermark detection techniques. DSR-based technique is also found to give better detection performance when compared with the suprathreshold stochastic resonance-based detection technique.


2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Suchuan Zhong ◽  
Kun Wei ◽  
Lu Zhang ◽  
Hong Ma ◽  
Maokang Luo

The stochastic resonance (SR) characteristics of a generalized Langevin linear system driven by a multiplicative noise and a periodically modulated noise are studied (the two noises are correlated). In this paper, we consider a generalized Langevin equation (GLE) driven by an internal noise with long-memory and long-range dependence, such as fractional Gaussian noise (fGn) and Mittag-Leffler noise (M-Ln). Such a model is appropriate to characterize the chemical and biological solutions as well as to some nanotechnological devices. An exact analytic expression of the output amplitude is obtained. Based on it, some characteristic features of stochastic resonance phenomenon are revealed. On the other hand, by the use of the exact expression, we obtain the phase diagram for the resonant behaviors of the output amplitude versus noise intensity under different values of system parameters. These useful results presented in this paper can give the theoretical basis for practical use and control of the SR phenomenon of this mathematical model in future works.


1997 ◽  
Vol 79 (23) ◽  
pp. 4701-4704 ◽  
Author(s):  
Paul C. Gailey ◽  
Alexander Neiman ◽  
James J. Collins ◽  
Frank Moss

2003 ◽  
Vol 119 (22) ◽  
pp. 11508-11512 ◽  
Author(s):  
Zhonghuai Hou ◽  
Houwen Xin

2012 ◽  
Vol 11 (2) ◽  
pp. 169-175 ◽  
Author(s):  
E. Stava ◽  
Siyoung Choi ◽  
Hyun-Seok Kim ◽  
R. H. Blick

2016 ◽  
Vol 10 ◽  
Author(s):  
Patrick Krauss ◽  
Konstantin Tziridis ◽  
Claus Metzner ◽  
Achim Schilling ◽  
Ulrich Hoppe ◽  
...  

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