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首页> 外文期刊>Dynamics of continuous, discrete & impulsive systems, Series B. Applications & algorithms >NON-LINEAR METHODS IN INFORMATION PROCESSING: MODELLING, NUMERICAL SIMULATION AND APPLICATION
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NON-LINEAR METHODS IN INFORMATION PROCESSING: MODELLING, NUMERICAL SIMULATION AND APPLICATION

机译:信息处理中的非线性方法:建模,数值模拟和应用

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摘要

A method of modelling of non-Gaussian random processes is suggested. The approach is based on representing a process under investigation as a response of a non-linear systems, excited by a white Gaussian noise or a fractional Brownian motion. Systems with random structure are used to model processes with are stationary only locally. Fractional stochastic differential equations are used to model processes with long term dependence.
机译:提出了一种非高斯随机过程的建模方法。该方法基于将正在研究的过程表示为由白高斯噪声或分数布朗运动激发的非线性系统的响应。具有随机结构的系统用于对仅局部固定的过程进行建模。分数阶随机微分方程用于对具有长期依赖性的过程进行建模。

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