Add to ORKGInternational audienceSingular random signals can be obtained at the output of some linear filters when the input is aBernoulli white noise. It is shown that this whiteness assumption can be relaxed and some examplesof colored Bernoulli signals generating singularity by filtering are presented. Computer experiments arerealized in order to verify these results
This paper investigates the classical statistical signal processing problem of detecting a signal in...
It is shown that for a wide class of signal processes and bounded g, the conditional expectation [pi...
AbstractIt is shown that for a wide class of signal processes and bounded g, the conditional expecta...
International audienceSingular random signals can be obtained at the output of some linear filters w...
International audienceSingular random signals are characterized by the fact that their values at eac...
International audienceSingular random signals are characterized by the fact that their values at eac...
In the existing `direct¿ white noise theory of nonlinear filtering, the state process is still model...
Abstract. In the existing “direct ” white noise theory of nonlinear fil-tering, the state process is...
Singular random signals are characterized by the fact that their values at each time are singular ra...
We compare several methods for the efficient generation of correlated random sequences (colored nois...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
A method for the linear least-squares estimation of random signals contaminated with random noise is...
Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive estima...
Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive estima...
In this paper an immuno-inspired algorithm is proposed to generate sequences of data close to the id...
This paper investigates the classical statistical signal processing problem of detecting a signal in...
It is shown that for a wide class of signal processes and bounded g, the conditional expectation [pi...
AbstractIt is shown that for a wide class of signal processes and bounded g, the conditional expecta...
International audienceSingular random signals can be obtained at the output of some linear filters w...
International audienceSingular random signals are characterized by the fact that their values at eac...
International audienceSingular random signals are characterized by the fact that their values at eac...
In the existing `direct¿ white noise theory of nonlinear filtering, the state process is still model...
Abstract. In the existing “direct ” white noise theory of nonlinear fil-tering, the state process is...
Singular random signals are characterized by the fact that their values at each time are singular ra...
We compare several methods for the efficient generation of correlated random sequences (colored nois...
An approach to nonlinear filtering theory is developed in which finitely additive white noise replac...
A method for the linear least-squares estimation of random signals contaminated with random noise is...
Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive estima...
Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive estima...
In this paper an immuno-inspired algorithm is proposed to generate sequences of data close to the id...
This paper investigates the classical statistical signal processing problem of detecting a signal in...
It is shown that for a wide class of signal processes and bounded g, the conditional expectation [pi...
AbstractIt is shown that for a wide class of signal processes and bounded g, the conditional expecta...