Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
561622 | Mechanical Systems and Signal Processing | 2010 | 13 Pages |
Abstract
The empirical mode decomposition (EMD) is applied to extract information of modulation from signals contaminated by noise. The EMD method is capable of recovering the amplitude-modulated components from strong background noise in an adaptive way, and achieves better performance than traditional methods. We further propose a modified EMD technique by estimating the local mean of a signal via windowed average. This method alleviates the unfavorable influence of noise disturbance effectively in the process of sifting and yields a remarkable improvement for the modulation extraction. Finally, by utilizing this novel technique, we achieve the adaptive and effective extraction of the modulated cavitation noise from ship-radiated noise.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Fei Bao, Xinlong Wang, Zhiyong Tao, Qingfu Wang, Shuanping Du,