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Kramers-type effective Reactive Flow in Structured-noise Environments
Kramers-type Reactive Flow Structured-noise Environments
2012/9/17
The non-Markovian features of three typical anomalous diffusing systems are studied by analyti-cally solving the generalized Langevin equation directly driven by three kind of internal structured-nois...
Singular Vector Perturbation under Gaussian Noise
Singular Vector Perturbation Gaussian Noise
2012/9/18
We study the following problem: when a low rank matrix is perturbed by Gaus-sian noise, what is the distribution of the induced (by singular value decompostion) perturbation on its singular vectors? I...
Large information plus noise random matrix models and consistent subspace estimation in large sensor networks
Large information plus noise random matrix models consistent subspace estimation large sensor networks
2011/7/7
In array processing, a common problem is to estimate the angles of arrival of $K$ deterministic sources impinging on an array of $M$ antennas, from $N$ observations of the source signal, corrupted by ...
Adaptivity in convolution models with partially known noise distribution
Adaptive nonparametric tests convolution model goodness-of-fit tests infinitely differentiable functions partially known noise
2009/9/16
We consider a semiparametric convolution model. We observe random variables having a distribution given by the convolution of some unknown density $f$ and some partially known noise density $g$. In th...