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

  • Khan M
  • Ashique R
  • Liya B
  • et al.
N/ACitations
Citations of this article
9Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Khan, M. M., Ashique, R. H., Liya, B. N., Sajjad, Md. M., Rahman, Md. A., & Amin, M. T. H. (2015). New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals. Journal of Electromagnetic Analysis and Applications, 07(03), 53–60. https://doi.org/10.4236/jemaa.2015.73006

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free