Underwater acoustic signal classification based on sparse time-frequency representation and deep learning

Yongchun Miao, Yury Zakharov, Haixin Sun, Jianghui Li, Junfeng Wang

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1-14
Journal	IEEE Journal of Oceanic Engineering
Publication status	Accepted/In press - 9 Nov 2020

Access to Document

Underwater acoustic signal classification based on sparse time-frequency representation and deep learning
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Accepted author manuscript, 2.3 MB

@article{c002355499a04946a264024fcd46924a,

title = "Underwater acoustic signal classification based on sparse time-frequency representation and deep learning",

author = "Yongchun Miao and Yury Zakharov and Haixin Sun and Jianghui Li and Junfeng Wang",

year = "2020",

month = nov,

day = "9",

language = "English",

pages = "1--14",

journal = "IEEE Journal of Oceanic Engineering",

issn = "0364-9059",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Underwater acoustic signal classification based on sparse time-frequency representation and deep learning

AU - Miao, Yongchun

AU - Zakharov, Yury

AU - Sun, Haixin

AU - Li, Jianghui

AU - Wang, Junfeng

PY - 2020/11/9

Y1 - 2020/11/9

M3 - Article

SN - 0364-9059

SP - 1

EP - 14

JO - IEEE Journal of Oceanic Engineering

JF - IEEE Journal of Oceanic Engineering

ER -