1988
DOI: 10.1103/physreva.38.5938
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Fast, accurate algorithm for numerical simulation of exponentially correlated colored noise

Abstract: The normal procedure for numerical simulation of exponentially correlated colored noise is superseded by the novel algorithm presented here. A differential algorithm is replaced by an integral algorithm which is faster, more accurate, and permits the use of longer step sizes.

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Cited by 400 publications
(201 citation statements)
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“…Coloured noise generated by an Ornstein-Uhlenbeck process with this parametrization is referred to as power-limited coloured noise, since the total power of the noise (the integral over the spectral density of the process) is conserved upon varying the noise correlation time (Jung et al 2005). For the numerical generation of exponentially correlated coloured noise we use the integral algorithm proposed by Fox et al (1988), corresponding to a direct numerical generation of the conditional probability distribution of the Ornstein-Uhlenbeck process.…”
Section: (C) Two Coupled Systemsmentioning
confidence: 99%
“…Coloured noise generated by an Ornstein-Uhlenbeck process with this parametrization is referred to as power-limited coloured noise, since the total power of the noise (the integral over the spectral density of the process) is conserved upon varying the noise correlation time (Jung et al 2005). For the numerical generation of exponentially correlated coloured noise we use the integral algorithm proposed by Fox et al (1988), corresponding to a direct numerical generation of the conditional probability distribution of the Ornstein-Uhlenbeck process.…”
Section: (C) Two Coupled Systemsmentioning
confidence: 99%
“…where D 1 is the intensity of the Gaussian white noise; and the color noise with the properties of [42] N 2 ðtÞ h i¼ 0; ð6Þ where D 2 and λ are the intensity and the correlation time of the color noise. The IPs and the DPs are calculated by the flux operator method,…”
Section: Theoretical Methodsmentioning
confidence: 99%
“…For completeness, we briefly describe the method of solving PDEs of electrically driven nanowire systems [19], which we combine with the method for solving ODEs subject to colored noise [59]. We begin by writing Eq.…”
Section: Appendixmentioning
confidence: 99%