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New Wavelet Thresholding Algorithm in Dropping Ambient Noise from Underwater Acoustic Signals
Department of EEE, Primeasia University, Dhaka, Bangladesh
Department of EEE, Primeasia University, Dhaka, Bangladesh
Department of EEE, Primeasia University, Dhaka, Bangladesh
Department of EEE, Primeasia University, Dhaka, Bangladesh
Department of EEE, Primeasia University, Dhaka, Bangladesh
Department of EEE, Primeasia University, Dhaka, Bangladesh
- 1 Department of EEE, Primeasia University, Dhaka, Bangladesh
- 2 Department of EEE, Primeasia University, Dhaka, Bangladesh
- 3 Department of EEE, Primeasia University, Dhaka, Bangladesh
- 4 Department of EEE, Primeasia University, Dhaka, Bangladesh
- 5 Department of EEE, Primeasia University, Dhaka, Bangladesh
- 6 Department of EEE, Primeasia University, Dhaka, Bangladesh
Journal of Electromagnetic Analysis and Applications·Volume 07 (2015)·Pages 53–60·Published 3 March 2015·DOI10.4236/jemaa.2015.73006
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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.
KeywordsAmbient NoiseWavelet TransformThresholdingSignal to Noise Ratio (SNR)Root Mean Square Error (RMSE)Power Spectral Density (PSD)Percentage Root Mean Square Difference (PRD)
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