De-Noising of Underwater Acoustic Weak Signals Based on Compressed Sensing Technique

Li Li Zhao; Xiao Wei Dai

doi:10.4028/www.scientific.net/AMR.989-994.3718

Paper Titles

Adaptive Equalization with Variable Step Size Algorithm Based on Gradient for HF Channel
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Joint Estimation of Doppler and Time Delay of Wideband Echoes for LFM Pulse Radar Based on Fractional Correlation in Impulse Noise Environment
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Parameter Estimation Based on Fractional Correlation under Alpha-Stable Distribution Noise Environment in Bistatic MIMO Radar System
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Multi-View Video Coding Based on Video Correction
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De-Noising of Underwater Acoustic Weak Signals Based on Compressed Sensing Technique
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A Beam Forming Method Based on Amplitude Weighting of Uniform Circular Array
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994De-Noising of Underwater Acoustic Weak Signals...

De-Noising of Underwater Acoustic Weak Signals Based on Compressed Sensing Technique

Abstract:

To remove the noise of weak signals detected in the underwater environment, the existing de-noising algorithms cannot perform satisfactorily. This paper aims to developing a new method to solve the problem, where the compressed sensing theory, wavelet transformation based filtering techniques and sparse signal reconstruction algorithm are employed. The simulation results show that the proposed algorithm performs favorably and has good potential to be used in some engineering applications.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3718-3721

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3718

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Online since:

July 2014

Authors:

Li Li Zhao*, Xiao Wei Dai

Keywords:

Compressed Sensing, Filter Design, Wavelet Transformation, Weak Signal De-Noising

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* - Corresponding Author

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