Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chai-Sheng Wen"'
Publikováno v:
Sensors, Vol 23, Iss 12, p 5416 (2023)
To develop a passive acoustic monitoring system for diversity detection and thereby adapt to the challenges of a complex marine environment, this study harnesses the advantages of empirical mode decomposition in analyzing nonstationary signals and in
Externí odkaz:
https://doaj.org/article/2f11926cc4b14da8ac08434e3bd356c1
Publikováno v:
Sensors, Vol 22, Iss 7, p 2737 (2022)
This study extracts the energy characteristic distributions of the intrinsic mode functions (IMFs) and residue functions (RF) for a blue whale sound signal, with empirical mode decomposition (EMD) as the basic theoretical framework. A high-resolution
Externí odkaz:
https://doaj.org/article/45ab7caf284c4a239f4e581aa159ed14
Publikováno v:
Sensors; Volume 23; Issue 12; Pages: 5416
To develop a passive acoustic monitoring system for diversity detection and thereby adapt to the challenges of a complex marine environment, this study harnesses the advantages of empirical mode decomposition in analyzing nonstationary signals and in
Autor:
Chin-Feng Lin, Yu-Chi Wei, Chai-Sheng Wen, Chan-Chung Wen, Shun-Hsyung Chang, Ivan A. Parinov, Sergey Shevtsov
Publikováno v:
Springer Proceedings in Materials ISBN: 9783031215711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffedaba8ed7560a1d083852a630af9a4
https://doi.org/10.1007/978-3-031-21572-8_39
https://doi.org/10.1007/978-3-031-21572-8_39
Publikováno v:
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).