An Underwater Acoustic Signal Denoising Method for Broadband Interference from Underwater Platforms Based on the Deep Neural Network Model-Reference-Cited by-同舟云学术

An Underwater Acoustic Signal Denoising Method for Broadband Interference from Underwater Platforms Based on the Deep Neural Network Model

Published:2023-09-23 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Information Communication and Signal Processing (ICICSP)
language:
Short-container-title:

Author:

Cao Linxuan¹,Lei Zhixiong²,Zhou Zihao¹,Sun Jie³,Shi Yang¹

Affiliation:

1. School of Marine science and technology, Northwestern Polytechnical University,Shaanxi Key Laboratory of Underwater Information Technology,Xi'an,China

2. Southwest China Institute of Electronic Technology,Chengdu,China,610036

3. Shenyang Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Robotics,Shenyang,China,110016

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389815/10388491/10390690.pdf?arnumber=10390690

Reference16 articles.

1. Observing the Oceans in Real Time;Mark,2017

2. Underwater Gliders;Craig,2017

3. Suppression of acoustic noise in speech using spectral subtraction

4. Wiener filtering based speech enhancement with Weighted Denoising Auto-encoder and noise classification

5. Enhancement signal detection in underwater acoustic noise using level dependent estimation time-frequency de-noising technique

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of Neural Networks for Solving Telecommunications Problems;2024 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO);2024-07-01