Acoustic source imaging using densely connected convolutional networks

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

48 Citations (Scopus)

Original language	English
Journal	Mechanical Systems and Signal Processing
Early online date	9 Nov 2020
DOIs	https://doi.org/10.1016/j.ymssp.2020.107370
Publication status	Published - Apr 2021

Access to Document

@article{67dd04280e784dde91c396391b6ce154,

title = "Acoustic source imaging using densely connected convolutional networks",

author = "P. Xu and E.J.G. Arcondoulis and Y. Liu",

year = "2021",

month = apr,

doi = "10.1016/j.ymssp.2020.107370",

language = "English",

journal = "Mechanical Systems and Signal Processing",

issn = "0888-3270",

publisher = "Academic Press",

}

TY - JOUR

T1 - Acoustic source imaging using densely connected convolutional networks

AU - Xu, P.

AU - Arcondoulis, E.J.G.

AU - Liu, Y.

PY - 2021/4

Y1 - 2021/4

UR - https://www.scopus.com/pages/publications/85096157481

U2 - 10.1016/j.ymssp.2020.107370

DO - 10.1016/j.ymssp.2020.107370

M3 - Article (Academic Journal)

SN - 0888-3270

JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

ER -