Physics-aware graph learning for sound-field reconstruction from sparse measurements [0.03%]
基于稀疏测量的物理感知图学习声场重建方法
Fangchao Chen,Youhong Xiao,Liang Yu et al.
Fangchao Chen et al.
A graph neural network (GNN) framework is presented for reconstructing room-acoustic sound fields from sparse microphone measurements. Microphones, sources, and candidate field points are represented as a graph whose node and edge embedding...
Power spectral density estimation via universal truncated order statistics filtering [0.03%]
基于通用截断次序统计量滤波的功率谱估计方法研究
David Campos Anchieta,John R Buck
David Campos Anchieta
Loud transient signals in underwater acoustic data increase the bias and variance of background noise power spectral density (PSD) estimates based on sample mean. Recently, two PSD estimators mitigated the loud transient impact on PSD estim...
Graphics processing unit accelerated Helmholtz equation solver in two dimensions using the traditional Born series formulation for linear and nonlinear media in biomedical ultrasound [0.03%]
基于传统Born级数的二维Helmholtz方程GPU加速器在生物医学超声线性及非线性介质中的应用
Ujjal Mandal,Jagpreet Singh,Ben T Cox et al.
Ujjal Mandal et al.
This study numerically solves inhomogeneous Helmholtz equations modeling acoustic wave propagation in homogeneous and lossless, absorbing and dispersive, and inhomogeneous and nonlinear media. The traditional Born series (TBS) method has be...
Investigation of single-crystal face-plated 2-2 piezocomposites for deep-sea hydrophone applications [0.03%]
深海声呐用单晶面阵2-2压电复合材料的研究
Xuan Yin,Wei Lu,Chunying Wang et al.
Xuan Yin et al.
This study presents performance predictions and selection strategies for different generations of single crystals to guide the application of single-crystal face-plated 2-2 piezocomposites in deep-water hydrophones. Accordingly, the home-bu...
Measured acoustic energy and neural network models for low-speed water entry by steel spheres [0.03%]
钢制球体低速入水的声能测量与神经网络建模方法研究
Yihan Yang,Qi Li,Dajing Shang et al.
Yihan Yang et al.
This paper investigates the acoustic radiation produced by water entry of objects. While current research predominantly focuses on the fluid dynamic characteristics of object submersion, studies on acoustic radiation are limited. Most exist...
Front-back sound level differences for human heads and the 1000-Hz interaural level anomaly [0.03%]
人头的前方和后方声压级差异以及1000 Hz时两耳声级的异常现象
William M Hartmann,Jack C Magann
William M Hartmann
Data from headphone experiments with human listeners indicate a small peak near 1000 Hz in the threshold for the detection of interaural level difference (Grantham effect). The peak has been observed in at least six different laboratories. ...
A conditional diffusion-based model for high-resolution acoustic source mapping [0.03%]
一种基于条件扩散的高分辨率声源映射模型
Haobo Jia,Feiran Yang,Jianfei Tong et al.
Haobo Jia et al.
Diffusion models have recently shown strong generative capabilities in inverse imaging problems. This paper introduces the first diffusion-based framework for acoustic source mapping that directly solves the deconvolution approach for the m...
Determination of the noise impact range of urban air mobility in urban areas using noise hemisphere [0.03%]
基于噪声半球的城区城市空中交通噪声影响范围确定方法研究
Seung-Min Lee,Seong-Yong Wie,Won-Hak Lee et al.
Seung-Min Lee et al.
The noise problem associated with the introduction of urban air mobility (UAM) is a critical challenge that must be addressed. Currently, noise evaluation methods and standards for UAM are lacking. The present study, as an initial step towa...
Erratum: Effect of ambisonic order on spatial release from masking [J. Acoust. Soc. Am. 156(4), 2169-2176 (2024)] [0.03%]
勘误：Ambisonic阶数对空间掩蔽释放的影响[J. Acoust. Soc. Am. 156(4), 2169-2176 (2024)]
John F Culling,A Ottopea Akrofi,Samuel R Dighton
John F Culling
Tunable elastic wave energy localization and harvesting in phononic crystals with decoupled double incomplete line defects [0.03%]
具有解耦双不完整线缺陷的声子晶体中可调弹性波局域化和采集现象研究
Guo-Yu Zhang,Si-Yuan Yu,Yan-Bin Chen et al.
Guo-Yu Zhang et al.
Using phononic crystals (PnCs) to enhance the electrical performance of piezoelectric energy harvesting (PEH) devices is an effective strategy for enabling self-powered operation in low-power electronic systems. Building on prior studies of...