scholarly journals Absolute negative mobility induced by white Poissonian noise

2013 ◽  
Vol 2013 (02) ◽  
pp. P02044 ◽  
Author(s):  
J Spiechowicz ◽  
J Łuczka ◽  
P Hänggi
Keyword(s):  
2011 ◽  
Vol 20 (2) ◽  
pp. 592-598 ◽  
Author(s):  
Giacomo Boracchi ◽  
Alessandro Foi

2002 ◽  
Vol 12 (1-4) ◽  
pp. 88-92 ◽  
Author(s):  
V. Rodriguez ◽  
P. Roche ◽  
D.C. Glattli ◽  
Y. Jin ◽  
B. Etienne
Keyword(s):  

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Hayaru Shouno ◽  
Madomi Yamasaki ◽  
Masato Okada

We develop a hyperparameter inference method for image reconstruction from Radon transform which often appears in the computed tomography, in the manner of Bayesian inference. Hyperparameters are often introduced in Bayesian inference to control the strength ratio between prior information and the fidelity to the observation. Since the quality of the reconstructed image is controlled by the estimation accuracy of these hyperparameters, we apply Bayesian inference into the filtered back-projection (FBP) reconstruction method with hyperparameters inference and demonstrate that the estimated hyperparameters can adapt to the noise level in the observation automatically. In the computer simulation, at first, we show that our algorithm works well in the model framework environment, that is, observation noise is an additive white Gaussian noise case. Then, we also show that our algorithm works well in the more realistic environment, that is, observation noise is Poissonian noise case. After that, we demonstrate an application for the real chest CT image reconstruction under the Gaussian and Poissonian observation noises.


Author(s):  
Sebastian Koke ◽  
Bastian Borchers ◽  
Christian Grebing ◽  
Harald Frei ◽  
Alexandria Anderson ◽  
...  

2016 ◽  
Vol 53 (4) ◽  
pp. 989-1000 ◽  
Author(s):  
A. Maheshwari ◽  
P. Vellaisamy

Abstract We discuss the short-range dependence (SRD) property of the increments of the fractional Poisson process, called the fractional Poissonian noise. We also establish that the fractional negative binomial process (FNBP) has the long-range dependence (LRD) property, while the increments of the FNBP have the SRD property. Our definitions of the SRD/LRD properties are similar to those for a stationary process and different from those recently used in Biard and Saussereau (2014).


2006 ◽  
Vol 74 (19) ◽  
Author(s):  
S. Gustavsson ◽  
R. Leturcq ◽  
B. Simovič ◽  
R. Schleser ◽  
P. Studerus ◽  
...  

2014 ◽  
Vol 21 (4) ◽  
pp. 797-813 ◽  
Author(s):  
A. Shapoval ◽  
J. L. Le Mouël ◽  
M. Shnirman ◽  
V. Courtillot

Abstract. We define, calculate and analyze irregularity indices λISSN of daily series of the International Sunspot Number ISSN as a function of increasing smoothing from N = 162 to 648 days. The irregularity indices λ are computed within 4-year sliding windows, with embedding dimensions m = 1 and 2. λISSN displays Schwabe cycles with ~5.5-year variations ("half Schwabe variations" HSV). The mean of λISSN undergoes a downward step and the amplitude of its variations strongly decreases around 1930. We observe changes in the ratio R of the mean amplitude of λ peaks at solar cycle minima with respect to peaks at solar maxima as a function of date, embedding dimension and, importantly, smoothing parameter N. We identify two distinct regimes, called Q1 and Q2, defined mainly by the evolution of R as a function of N: Q1, with increasing HSV behavior and R value as N is increased, occurs before 1915–1930; and Q2, with decreasing HSV behavior and R value as N is increased, occurs after ~1975. We attempt to account for these observations with an autoregressive (order 1) model with Poissonian noise and a mean modulated by two sine waves of periods T1 and T2 (T1 = 11 years, and intermediate T2 is tuned to mimic quasi-biennial oscillations QBO). The model can generate both Q1 and Q2 regimes. When m = 1, HSV appears in the absence of T2 variations. When m = 2, Q1 occurs when T2 variations are present, whereas Q2 occurs when T2 variations are suppressed. We propose that the HSV behavior of the irregularity index of ISSN may be linked to the presence of strong QBO before 1915–1930, a transition and their disappearance around 1975, corresponding to a change in regime of solar activity.


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