Thresholding Dolphin Whistles Based on Signal Correlation and Impulsive Noise Features Under Stationary Wavelet Transform
The time–frequency characteristics of dolphin whistle signals under diverse ecological conditions and during environmental changes are key research topics that focus on the adaptive and response mechanisms of dolphins to the marine environment. To enhance the quality and utilization of passive acous...
Saved in:
| Main Authors: | Xiang Zhou, Ru Wu, Wen Chen, Meiling Dai, Peibin Zhu, Xiaomei Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/13/2/312 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Acoustic Identification of Dolphin Whistle Types in Deep Waters of Arabian Sea Using Wavelet Threshold Denoising Approach
by: Madan M. Mahanty, et al.
Published: (2023-03-01) -
Dolphin Health Classifications from Whistle Features
by: Brittany Jones, et al.
Published: (2024-11-01) -
Real-Time Dolphin Whistle Detection on Raspberry Pi Zero 2 W with a TFLite Convolutional Neural Network
by: Rocco De Marco, et al.
Published: (2025-05-01) -
Acoustic and visual monitoring of Peale’s dolphins (Lagenorhynchus australis) in the Magellan Strait
by: Franck Malige, et al.
Published: (2025-06-01) -
Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor
by: Ananias Pereira Neto, et al.
Published: (2025-01-01)