Title: Wavelet denoising of broadband pulsed signals via empirical Bayes thresholding
Author: Michel H. Montoril
Affiliation: Department of Statistics, Federal University of São Carlos, Brazil
Author: Artur Andriolo
Affiliation: Zoology Department, Federal University of Juiz de Fora, Brazil
Abstract:
Cetacean bioacoustic research is rapidly increasing in importance to answer questions related to the human contribution on acoustic environmental changes. Acoustic towed array is a technique using sometimes opportunistic research vessel platforms in collaboration with other oceanographic investigations. This situation generates additional noise sources that affect or partially mask the signal of interest. This compromises the correct detection and possible classification of the species. In this work, combined wavelets and empirical Bayes thresholding are used to denoise the audio recording of odontocetes echolocation clicks. This method was able to denoise clicks without affecting their features.
