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

DOI: 10.4236/jemaa.2015.73006   PDF   HTML   XML   2,973 Downloads   3,521 Views   Citations


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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.


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