AbstractA definition of white noise processes in strong sense, main properties of the noise, a characteristic function for a white noise of general type that allows us to characterize the white noise processes are suggested. Modeling of a linear stochastic process is used as an example of the practical application of the white noise in the strong sense
We give a short introduction to the white noise theory for multiparameter Lévy processes and its app...
This paper provides a framework for analyzing white noise disturbances in linear systems. Rather tha...
The broad-based goal of this thesis is to understand, detect, identify and quantify the abstract ent...
AbstractThe definition of a random periodic process, the main properties of the process, and a chara...
Real-world data such as multimedia, biomedical, and telecommunication signals are formed of specific...
Time domain definitions for finite bandwidth white noise, and filtered white noise, are detailed and...
The attached document may provide the author's accepted version of a published work. See Citati...
The paper discusses the identification of the empirical white noise processes generated by determini...
Random signals and noise are present in many engineering systems and networks. Signal processing tec...
The mathematical background necessary to rigorously define white noise is detailed. It is shown that...
We develop a white noise theory for Poisson random measures associated with a Lévy process. The star...
Abstract—Most stochastic processes in engineering applications have an intrinsic continuous-time (CT...
Starting from a criticism of the Rice representations of normal random noise, a new mathematical mod...
It is proved that any random sequence can be exhibited as the output of a stochastic dynamical syste...
It is proved that any random sequence can be exhibited as the output of a stochastic dynamical syste...
We give a short introduction to the white noise theory for multiparameter Lévy processes and its app...
This paper provides a framework for analyzing white noise disturbances in linear systems. Rather tha...
The broad-based goal of this thesis is to understand, detect, identify and quantify the abstract ent...
AbstractThe definition of a random periodic process, the main properties of the process, and a chara...
Real-world data such as multimedia, biomedical, and telecommunication signals are formed of specific...
Time domain definitions for finite bandwidth white noise, and filtered white noise, are detailed and...
The attached document may provide the author's accepted version of a published work. See Citati...
The paper discusses the identification of the empirical white noise processes generated by determini...
Random signals and noise are present in many engineering systems and networks. Signal processing tec...
The mathematical background necessary to rigorously define white noise is detailed. It is shown that...
We develop a white noise theory for Poisson random measures associated with a Lévy process. The star...
Abstract—Most stochastic processes in engineering applications have an intrinsic continuous-time (CT...
Starting from a criticism of the Rice representations of normal random noise, a new mathematical mod...
It is proved that any random sequence can be exhibited as the output of a stochastic dynamical syste...
It is proved that any random sequence can be exhibited as the output of a stochastic dynamical syste...
We give a short introduction to the white noise theory for multiparameter Lévy processes and its app...
This paper provides a framework for analyzing white noise disturbances in linear systems. Rather tha...
The broad-based goal of this thesis is to understand, detect, identify and quantify the abstract ent...
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