Denoising Techniques for Underwater Ambient Noise

Author(s):

Kawade Akshada N. , Vidya Pratishthan’s College of Engineering, Baramati; Shastri Rajveer K., Vidya Pratishthan’s College of Engineering, Baramati; Shinde Vidhya M., Vidya Pratishthan’s College of Engineering, Baramati

Keywords:

Ambient Noise, Empirical Mode Decomposition, Fourier Transform, Thresholding, Wavelet Transform

Abstract:

There is high demand for noise free acoustic communication because of increasing current human underwater activities. Transmission of Signal in the ocean using water as a channel is a challenging task due to some effects like spreading, reverberation attenuation, absorption, etc. apart from the contribution of acoustic signals due to ambient noises. There are two types of ambient noise sources in the sea that are manmade noises (shipping, aircraft over the sea, motor on the boat, etc.) and natural noises (rain, wind, marine fishes, seismic, etc.) The quality of acoustic signal reduces due to underwater ambient noise. Also ambient noise disturbs the life of marine mammals. It is essential to detect sounds from acoustic signal and classify it so as to we can remove noise from it. This study provides information about work done on research front of denoising ambient noise affecting underwater communication.

Other Details:

Manuscript Id	:	IJSTEV2I7110
Published in	:	Volume : 2, Issue : 7
Publication Date	:	01/02/2016
Page(s)	:	150-154

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