Design of a Distributed Quantized Luenberger Filter for Bounded Noise

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We prove global in time well-posedness for perturbations of the 2D stochastic Navier-Stokes equations partial derivative( t)u + u center dot del u = Delta u - del p + sigma + xi, u(0, center dot ) = u(0),div (u) = 0, driven by additive space-time white noi ...

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The p-Laplacian problem -del & sdot; ((mu + |del u|(p-2))del u) = f is considered, where mu is a given positive number. An anisotropic a posteriori residual-based error estimator is presented. The error estimator is shown to be equivalent, up to higher ord ...

Noise measurements in light water reactor systems aid in generating validation data for integral point kinetic parameter predictions and generating monitoring parameters for reactor safety and safeguards. The CROCUS zero-power reactor has been used to supp ...

We study the hitting probabilities of the solution to a system of d stochastic heat equations with additive noise subject to Dirichlet boundary conditions. We show that for any bounded Borel set with positive (d-6)\documentclass[12pt]{minimal} \usepackage{ ...

In inverse problems, the task is to reconstruct an unknown signal from its possibly noise-corrupted measurements. Penalized-likelihood-based estimation and Bayesian estimation are two powerful statistical paradigms for the resolution of such problems. They ...

We consider fluid flows, governed by the Navier-Stokes equations, subject to a steady symmetry-breaking bifurcation and forced by a weak noise acting on a slow timescale. By generalizing the multiple-scale weakly nonlinear expansion technique employed in t ...

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The increasing availability of sensing techniques provides a great opportunity for engineers to design state estimation methods, which are optimal for the system under observation and the observed noise patterns. However, these patterns often do not fulfil ...

This paper presents the experimental validation of a linear recursive state estimation (SE) process for hybrid AC/DC microgrids proposed in the authors' previous work. The SE uses a unified and linear measurement model that relies on the use of synchronize ...

Ion transport through biological and solid-state nanochannels is known to be a highly noisy process. The power spectrum of current fluctuations is empirically known to scale like the inverse of frequency, following the long-standing yet poorly understood H ...

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This paper introduces Wireless IoT-based Noise Cancellation (WINC) which defines a framework for leveraging a wireless network of IoT microphones to enhance active noise cancellation in noise-canceling headphones. The IoT microphones forward ambient noise ...

Design of a Distributed Quantized Luenberger Filter for Bounded Noise

Chattez avec Graph Search

Global existence for perturbations of the 2D stochastic Navier-Stokes equations with space-time white noise

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Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Neutron-Gamma Noise Measurements in a Zero-Power Reactor Using Organic Scintillators

Hitting with Probability One for Stochastic Heat Equations with Additive Noise

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

Noise-induced transitions past the onset of a steady symmetry-breaking bifurcation: The case of the sudden expansion

Random matrix methods for high-dimensional machine learning models

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Quantization for Decentralized Learning Under Subspace Constraints

Regularization for distributionally robust state estimation and prediction

Experimental Validation of a Unified and Linear State Estimation Method for Hybrid AC/DC Microgrids

Disentangling 1/f noise from confined ion dynamics

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

WINC: A Wireless IoT Network for Multi-Noise Source Cancellation