Compressed Sensing Based on an Improved K-SVD for Vibration Signal Compression Reconstruction in Wireless Sensor Networks-Reference-Cited by-同舟云学术

Compressed Sensing Based on an Improved K-SVD for Vibration Signal Compression Reconstruction in Wireless Sensor Networks

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Huang Qingqing¹^ORCID,Li Zonghua¹^ORCID,Han Yan¹^ORCID,Zhang Yan¹^ORCID,Zhao Chunhua²^ORCID,Cai Wuxia¹^ORCID,Ma Jinghua³^ORCID

Affiliation:

1. Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China

2. State Key Laboratory of Mechanical Transmission, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

3. College of Mechanical Engineering, Chongqing University of Technology, Chongqing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Special Foundation for Postdoctoral Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10565768.pdf?arnumber=10565768

Reference39 articles.

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4. A subband peak adaptive quantization fusion codec method for wireless sensor networks;Zhu;Yi Qi Yi Biao Xue Bao/Chin. J. Sci. Instrum.,2023

5. FFKD-CGhostNet: A Novel Lightweight Network for Fault Diagnosis in Edge Computing Scenarios