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New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals

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DOI: 10.4236/jemaa.2015.73006    2,831 Downloads   3,359 Views   Citations

ABSTRACT

Underwater Wireless Communication, largely dependent on the acoustic communication between the machines, is largely affected by various types of noise in the shallow and deep water. However ambient noise which is due to multiple sources (e.g. shipping, wind) and no one source dominates. Ambient noise masks the acoustic signal to a large extent. Hence today it has drawn the attention of the experts to reduce its effect on the received signal. This paper discusses ambient noise problem and devises a new wavelet thresholding method to reduce its effect. Afterwards a comparative study on statistical parameters is shown to prove the efficiency of the devised method.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Khan, M. , Ashique, R. , Liya, B. , Sajjad, M. , Rahman, M. and Amin, M. (2015) New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals. Journal of Electromagnetic Analysis and Applications, 7, 53-60. doi: 10.4236/jemaa.2015.73006.

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