2016
DOI: 10.1088/1742-5468/2016/05/054041
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Towards an information-theoretic model of the Allison mixture stochastic process

Abstract: The Allison mixture is a random process formed by stochastically switching between two random and uncorrelated input processes. Unintuitively, these samples-independent prior to being drawn-can acquire dependence as a result of the sampling process. It has previously been shown that correlation can occur subject to certain conditions, however in general dependence does not imply correlation. In this paper we provide an initial information-theoretic analysis of the Allison mixture, and derive the autoinformatio… Show more

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Cited by 4 publications
(3 citation statements)
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“…Figure 1g shows that CC intra follows a zero mean Gaussian distribution which confirms that the T cells are uncorrelated further adding to the strength of the Bio-PUF. The correlation coefficient of the bit sequence with itself was calculated up to a 64-bit delay (lags) for examining any periodicity and shortranged correlations 37 . The autocorrelation coefficients (ACF) lie in the interval [−1, 1] where a value of −1 and 1 indicate anticorrelation and correlation, respectively, and a value of 0 suggests uncorrelated bits.…”
Section: Resultsmentioning
confidence: 99%
“…Figure 1g shows that CC intra follows a zero mean Gaussian distribution which confirms that the T cells are uncorrelated further adding to the strength of the Bio-PUF. The correlation coefficient of the bit sequence with itself was calculated up to a 64-bit delay (lags) for examining any periodicity and shortranged correlations 37 . The autocorrelation coefficients (ACF) lie in the interval [−1, 1] where a value of −1 and 1 indicate anticorrelation and correlation, respectively, and a value of 0 suggests uncorrelated bits.…”
Section: Resultsmentioning
confidence: 99%
“…Gunn et al have previously provided an initial informationtheoretic analysis of the Allison mixture [44]. In the present study, we have developed their work by obtaining the correlation information between two elements of the Allison mixture.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the fluctuations in the periodic motion of kayak-paddlers can be used to better estimate their performance [40]. Another example is the Allison mixture to study how unintuitive correlations (or autoinformations) can be obtained from a random sampling of two uncorrelated parent processes [41]. Browian motion can be used to develop optimal search strategies in our everyday life [42].…”
Section: Applications Of Noisementioning
confidence: 99%