TITLE:
New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals
AUTHORS:
Mohammad Monirujjaman Khan, Ratil Hasnat Ashique, Badrun Naher Liya, Md. Mohsin Sajjad, Md. Anisur Rahman, M. T. Hasan Amin
KEYWORDS:
Ambient Noise, Wavelet Transform, Thresholding, Signal to Noise Ratio (SNR), Root Mean Square Error (RMSE), Power Spectral Density (PSD), Percentage Root Mean Square Difference (PRD)
JOURNAL NAME:
Journal of Electromagnetic Analysis and Applications,
Vol.7 No.3,
March
3,
2015
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.