Single-channel Blind Source Separation Algorithm Based on Water Area Noise Characteristics-Reference-Cited by-同舟云学术

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Single-channel Blind Source Separation Algorithm Based on Water Area Noise Characteristics

Published:2022-08-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
language:
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Author:

Chen Min¹,Li Lei¹,Geng Zhibo¹,Xie Xiaomei¹

Affiliation:

1. University of Electronic Science and Technology of China,School of Aeronautics and Astronautics,Chengdu, Sichuan Province,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855896/9855897/09856325.pdf?arnumber=9856325

Reference10 articles.

1. Blind source separation for vibration-based diagnostics of rotorcraft bearings

2. A new multi-scale framework for convolutive blind source separation

3. Performance analysis for complex-valued FastICA and its improvement based on the Tukey M-estimator;jianwei;Digital Signal Processing,2021

4. Short-term wind speed prediction model based on GA-ANN improved by VMD

5. Blind source separation of single-channel train signal based on EEMD and ICA;gu;Appl Res Comput,2014

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