Wavelet‐based denoising of manatee vocalizations
| Autor: | Christopher Niezrecki, Berke M. Gur |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Acoustics and Ultrasonics
biology Computer science business.industry Noise reduction Acoustics Wavelet transform Pattern recognition Signal Thresholding Noise Wavelet Arts and Humanities (miscellaneous) Computer Science::Sound Computer Science::Computer Vision and Pattern Recognition biology.animal Manatee Artificial intelligence business |
| Zdroj: | The Journal of the Acoustical Society of America. 119:3404-3404 |
| ISSN: | 0001-4966 |
| DOI: | 10.1121/1.4786760 |
| Popis: | In the last decade, novel research on the wavelet transform has led to its recognition as a promising tool for denoising signals. Wavelet‐coefficient‐shrinkage‐based denoising algorithms have been applied in various fields of science and engineering and successful results have been reported in Raman spectroscopy and medical imagery. Within this study, the wavelet transform is used to denoise manatee vocalization recordings corrupted with typical underwater noise such as boat, snapping shrimp, and water movement noise. The detection range and performance of acoustically based detection systems depends greatly on the SNR of the acoustic signal. A selective thresholding is performed on the wavelet coefficients and the denoised vocalizations are obtained through the reconstruction of these coefficients. The performance of the method presented is benchmarked against the well‐known wavelet‐coefficient‐shrinkage‐based denoising algorithms using the same underwater acoustic data obtained in prior studies. Prelimi... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|