HIGHLIGHTS
- who: Yuxing Li and colleagues from the School of Automation and Information Engineering, Xi`an University of Technology, Xi`an, China have published the article: Optimized Ship-Radiated Noise Feature Extraction Approaches Based on CEEMDAN and Slope Entropy, in the Journal: Entropy 2022, 24, x FOR PEER REVIEW of 13/07/2022
- what: To solve this problem in this study the authors combined complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to explore the differences of Slopen between the intrinsic mode components (IMFs) of the S-NSs and proposed a single-IMF optimized feature . . .
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