Group sparse regularization for impact force identification in time domain

B Qiao, Z Mao, J Liu, Z Zhao, X Chen - Journal of Sound and Vibration, 2019 - Elsevier
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 …

A compressive sensing approach for the reconstruction of the soundfield produced by directive sources in reverberant rooms

S Damiano, F Borra, A Bernardini… - … on Audio, Speech …, 2024 - ieeexplore.ieee.org
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 …

Sparse representation of a spatial sound field in a reverberant environment

S Koyama, L Daudet - IEEE Journal of Selected Topics in …, 2019 - ieeexplore.ieee.org
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 …

Directionally weighted wave field estimation exploiting prior information on source direction

N Ueno, S Koyama, H Saruwatari - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
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 …

Estimating Double Sparse Structures over ℓu(ℓq)-Balls: Minimax Rates and Phase Transition

Z Li, Y Zhang, J Yin - IEEE Transactions on Information Theory, 2024 - ieeexplore.ieee.org
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 …

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 …

Physics-informed machine learning for sound field estimation

S Koyama, JGC Ribeiro, T Nakamura, N Ueno… - arxiv preprint arxiv …, 2024 - arxiv.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 …

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 …

Joint acoustic localization and dereverberation through plane wave decomposition and sparse regularization

N Antonello, E De Sena, M Moonen… - … on Audio, Speech …, 2019 - ieeexplore.ieee.org
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 …

Fine clustering analysis of internet financial credit investigation based on big data

J Sun, Y Li, Q Li, Y Li, Y Jia, D **a - Big Data Research, 2022 - Elsevier
Given that the traditional methods cannot perform clustering analysis on the Internet
financial credit reporting directly and effectively, precise clustering analysis of internet …