Results 31 to 40 of about 471,184 (284)

A Novel Approach to Speech Enhancement Based on Deep Neural Networks

open access: yesAdvances in Electrical and Computer Engineering, 2022
Minimum mean-square error (MMSE) approaches have been shown to achieve state-of-the-art performance on the task of speech enhancement. However, MMSE approaches lack the ability to accurately estimate non-stationary noise sources.
SALEHI, M., MIRZAKUCHAKI, S.
doaj   +1 more source

Identifying the Unknown Source in Linear Parabolic Equation by a Convoluting Equation Method

open access: yesMathematics, 2022
This article is devoted to identifying a space-dependent source term in linear parabolic equations. Such a problem is ill posed, i.e., a small perturbation in the input data may cause a dramatically large error in the solution (if it exists).
Zhenping Li   +2 more
doaj   +1 more source

A Continuation Multilevel Monte Carlo algorithm [PDF]

open access: yes, 2014
We propose a novel Continuation Multi Level Monte Carlo (CMLMC) algorithm for weak approximation of stochastic models. The CMLMC algorithm solves the given approximation problem for a sequence of decreasing tolerances, ending when the required error ...
Collier, Nathan   +4 more
core   +1 more source

A Priori Error Estimates for Approximation of Parabolic Boundary Value Problems [PDF]

open access: yesSIAM Journal on Numerical Analysis, 1975
The L2-error estimates are established for the continuous time Faedo-Galerkin approximation to solutions of a linear parabolic initial boundary value problem that has elliptic part of order 2m. Properties of analytic semigroups are used to obtain these estimates directly from the LZ-estimates for the corresponding steady state elliptic problem under ...
openaire   +2 more sources

Two-grid virtual element discretization of quasilinear elliptic problem

open access: yesMathematical Modelling and Analysis
In this paper a two grid algorithm for quasilinear elliptic problem based on virtual element method (VEM) discretization is proposed. With this new algorithm the solution of a quasilinear elliptic problem on a fine grid is reduced to the solution of a ...
Fengxin Chen, Minghui Yang, Zhaojie Zhou
doaj   +1 more source

An expanded mixed covolume element method for integro-differential equation of Sobolev type on triangular grids

open access: yesAdvances in Difference Equations, 2017
The expanded mixed covolume Element (EMCVE) method is studied for the two-dimensional integro-differential equation of Sobolev type. We use a piecewise constant function space and the lowest order Raviart-Thomas ( RT 0 $\mathit{RT}_{0}$ ) space as the ...
Zhichao Fang   +3 more
doaj   +1 more source

Spectral discretization of the time-dependent Navier-Stokes problem with mixed boundary conditions

open access: yesAdvances in Nonlinear Analysis, 2022
In this work, we handle a time-dependent Navier-Stokes problem in dimension three with a mixed boundary conditions. The variational formulation is written considering three independent unknowns: vorticity, velocity, and pressure.
Abdelwahed Mohamed, Chorfi Nejmeddine
doaj   +1 more source

The hp-BEM with quasi-uniform meshes for the electric field integral equation on polyhedral surfaces: a priori error analysis

open access: yes, 2009
This paper presents an a priori error analysis of the hp-version of the boundary element method for the electric field integral equation on a piecewise plane (open or closed) Lipschitz surface. We use H(div)-conforming discretisations with Raviart-Thomas
Bespalov, Alexei, Heuer, Norbert
core   +1 more source

Galerkin least squares finite element method for the obstacle problem [PDF]

open access: yes, 2016
We construct a consistent multiplier free method for the finite element solution of the obstacle problem. The method is based on an augmented Lagrangian formulation in which we eliminate the multiplier by use of its definition in a discrete setting.
Burman, E   +3 more
core   +2 more sources

An Improved SNR Estimator for Speech Enhancement [PDF]

open access: yes, 2008
In this paper, we propose an MMSE a priori SNR estimator for speech enhancement. This estimator has similar benefits to the well-known decision-directed approach, but does not require an ad-hoc weighting factor to balance the past a priori SNR and ...
Johnson, Michael T., Ren, Yao
core   +2 more sources

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