Classification of Infrasound Events based on Multilevel Wavelet Transforms
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,Network and Communication Software Center,Beijing,China
2. Research Institute of Chemical Defense,State Key Laboratory of Protection for Civilian,Beijing,China
Funder
Beijing University of Posts and Telecommunications
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10507208/10507251/10507462.pdf?arnumber=10507462
Reference16 articles.
1. Benchmarking Current and Emerging Approaches to Infrasound Signal Classification
2. Development of a robust and automated infrasound event catalogue using the International Monitoring System
3. On the infrasound detected from the 2013 and 2016 DPRK's underground nuclear tests
4. Deep learning categorization of infrasound array data
5. Waveform Features Strongly Control Subcrater Classification Performance for a Large, Labeled Volcano Infrasound Dataset
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