Bird Call Identification Using Ensemble Empirical Mode Decomposition
Birds are iconic species of the environment. Bird monitoring can be achieved by collecting recordings of the calls of wild birds and later identifying the species. A new approach suggested in this study involves the application of ensemble empirical mode decomposition (EEMD) to analyze the time-freq...
Saved in:
| Main Authors: | Jingxuan Liu, Hailan Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/vib/5292138 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantification of Dynamic Properties of Pile Using Ensemble Empirical Mode Decomposition
by: Feng Xiao, et al.
Published: (2018-01-01) -
Dysfluent Speech Classification Using Variational Mode Decomposition and Complete Ensemble Empirical Mode Decomposition Techniques With NGCU-Based RNN
by: N. A. Vinay, et al.
Published: (2024-01-01) -
Gearbox Fault Diagnosis Using Complementary Ensemble Empirical Mode Decomposition and Permutation Entropy
by: Liye Zhao, et al.
Published: (2016-01-01) -
Efficient impact load identification method using empirical mode decomposition
by: LIU Ling, et al.
Published: (2025-08-01) -
Performance Improvement of Ensemble Empirical Mode Decomposition for Roller Bearings Damage Detection
by: Ali Akbar Tabrizi, et al.
Published: (2015-01-01)