Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Group sparse regularization for impact force identification in time domain
Impact force identification remains a challenging inverse problem, where a small error in
structural responses may lead to a large deviation in the actual solution. Recently, sparse …
structural responses may lead to a large deviation in the actual solution. Recently, sparse …
A compressive sensing approach for the reconstruction of the soundfield produced by directive sources in reverberant rooms
State-of-the-art soundfield reconstruction methods are computationally expensive and their
performance is generally undermined by the presence of strong reverberation and of near …
performance is generally undermined by the presence of strong reverberation and of near …
Sparse representation of a spatial sound field in a reverberant environment
This paper investigates sound-field modeling in a realistic reverberant setting. Starting from
a few point-like microphone measurements, the goal is to estimate the direct source field …
a few point-like microphone measurements, the goal is to estimate the direct source field …
Directionally weighted wave field estimation exploiting prior information on source direction
A wave field estimation method exploiting prior information on source direction is proposed.
First, we formulate a wave field estimation problem as regularized least squares, where the …
First, we formulate a wave field estimation problem as regularized least squares, where the …
Estimating Double Sparse Structures over ℓu(ℓq)-Balls: Minimax Rates and Phase Transition
In this paper, we focus on the high-dimensional double sparse structures, where the
parameter of interest simultaneously encourages group-wise and element-wise sparsity. By …
parameter of interest simultaneously encourages group-wise and element-wise sparsity. By …
Physics-Informed Machine Learning for Sound Field Estimation: Fundamentals, state of the art, and challenges [Special Issue On Model-Based and Data-Driven Audio …
S Koyama, JGC Ribeiro, T Nakamura… - IEEE Signal …, 2025 - ieeexplore.ieee.org
The area of study concerning the estimation of spatial sound, ie, the distribution of a physical
quantity of sound such as acoustic pressure, is called sound field estimation, which is the …
quantity of sound such as acoustic pressure, is called sound field estimation, which is the …
Physics-informed machine learning for sound field estimation
The area of study concerning the estimation of spatial sound, ie, the distribution of a physical
quantity of sound such as acoustic pressure, is called sound field estimation, which is the …
quantity of sound such as acoustic pressure, is called sound field estimation, which is the …
Modeling characteristics of real loudspeakers using various acoustic models: Modal-domain approaches
Y Hu, PN Samarasinghe… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
The accuracy and perception of soundfields produced by loudspeaker arrays are strongly
influenced by the inherent characteristics of the commercial loudspeakers. This paper …
influenced by the inherent characteristics of the commercial loudspeakers. This paper …
Joint acoustic localization and dereverberation through plane wave decomposition and sparse regularization
Acoustic source localization and dereverberation are formulated jointly as an inverse
problem. The inverse problem consists of the approximation of the sound field measured by …
problem. The inverse problem consists of the approximation of the sound field measured by …
Fine clustering analysis of internet financial credit investigation based on big data
Given that the traditional methods cannot perform clustering analysis on the Internet
financial credit reporting directly and effectively, precise clustering analysis of internet …
financial credit reporting directly and effectively, precise clustering analysis of internet …