Wavelet denoising with ICA for the segmentation of bio-acoustic sources in a noisy underwater environment

Author

Patil, Basavaraj ; Shastri, Rajveer ; Das, Aruneema

Author_Institution

Vidya Pratishthan´s Coll. of Eng., Baramati, India

fYear

2014

fDate

3-5 April 2014

Firstpage

472

Lastpage

475

Abstract

In this paper, comparative analysis of ICA algorithms has been done for separation of biological sounds in underwater noisy environment. Dolphin whistles, echolocation clicks and snapping shrimps are mixed to form underwater noisy environment. Various ICA algorithms like Fast-ICA, Infomax are applied on mixture of bio-signals. The efficiency of these algorithms has been compared using performance of separability. Signals available in open source and ICALAB based ICALAB simulation packages have been used to compare ICA algorithms.

Keywords

acoustic signal processing; bioacoustics; independent component analysis; marine engineering; public domain software; signal denoising; wavelet transforms; ICA algorithms; ICALAB based ICALAB simulation package; Infomax; bioacoustic source segmentation; biological sound separation; biosignal mixture; dolphin whistles; echolocation clicks; fast-ICA; independent component analysis; noisy underwater environment; open source simulation package; snapping shrimps; wavelet denoising; Algorithm design and analysis; Approximation algorithms; Dolphins; Noise; Noise measurement; Noise reduction; Sparse matrices; EFICA; FJADE; ICA; Underwater ambient noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Signal Processing (ICCSP), 2014 International Conference on

Conference_Location

Melmaruvathur

Print_ISBN

978-1-4799-3357-0

Type

conf

DOI

10.1109/ICCSP.2014.6949886

Filename

6949886