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- W2033057214 abstract "Almost all naturally occurring phenomena are non deterministic, that is, they are not entirely predictable. Non deterministic signals are often called random, probabilistic or stochastic. In communication, radar, electrical circuits, telephone networks and many other cases, most signals are random in nature. This is mainly due to the unavoidable omnipresence of different types of noises. Some approximation of random signals are obtained by sampling at different time moments. Time series obtained by such measuring processes show either a combination of periodic phenomena with stochastic components or chaotic behavior. Usually, the computing of nonlinear characteristics indicates the real complexity of the system. In many cases, the separation of frequency bands representing periodic or almost periodic behaviors, allows comprehension of the hidden nonlinear or stochastic phenomena involved. In this paper we give some results about some types of almost periodicity of continuous signals based on probabilistic distributions of random signals and by using some results about probabilistic normed spaces." @default.
- W2033057214 created "2016-06-24" @default.
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- W2033057214 date "2010-01-01" @default.
- W2033057214 modified "2023-10-12" @default.
- W2033057214 title "Almost Periodic Random Signals and Applications" @default.
- W2033057214 doi "https://doi.org/10.1063/1.3498531" @default.
- W2033057214 hasPublicationYear "2010" @default.
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