De-Noising of Underwater Acoustic Weak Signals Based on Compressed Sensing Technique
Li Li Zhao, Xiao Wei Dai · Advanced materials research · 2014
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.