Low-Rank Constrained Multichannel Signal Denoising Considering Channel-Dependent Sensitivity Inspired by Self-Supervised Learning for Optical Fiber Sensing-Reference-Cited by-同舟云学术

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Low-Rank Constrained Multichannel Signal Denoising Considering Channel-Dependent Sensitivity Inspired by Self-Supervised Learning for Optical Fiber Sensing

Published:2024-04-14 Issue: Volume: Page:8511-8515
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Tonami Noriyuki¹,Kohno Wataru²,Mishima Sakiko¹,Arai Yumi¹,Kondo Reishi¹,Hino Tomoyuki¹

Affiliation:

1. NEC Corporation,Japan

2. NEC Laboratories America, Inc.,America

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448053.pdf?arnumber=10448053

Reference23 articles.

1. Distributed fiber sensor network using telecom cables as sensing media: Applications;Ip

2. Distributed fiber sensor network using telecom cables as sensing media: technology advancements and applications [Invited]

3. Eavesdropping at the Speed of Light: Distributed Acoustic Sensing of Baleen Whales in the Arctic

4. Dynamic structural health monitoring of a model wind turbine tower using distributed acoustic sensing (DAS)

5. Distributed Acoustic Sensing – a new tool for seismic applications

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