Denoising Technology Application Research on EMD in Hydroacoustics

Xin Yu Yao

doi:10.4028/www.scientific.net/AMM.602-605.2776

Paper Titles

Design of the JPEG2000 Compression System Based on ADV212
p.2761

Research of Steady Acquisition Method of Large-Scale Electronic Circuit Shorted Signal
p.2765

A Low-Voltage Distribution Box with Energy Monitoring and Carrier Communication Functions
p.2769

Embedded Dynamic Security Networking Technology Based on Fast Jump and Trust Degree
p.2773

Denoising Technology Application Research on EMD in Hydroacoustics
p.2776

Effects of Phase Jitter on the Navigation Signal Simulator
p.2781

Capacitor-Coupled ECG System for Wearable Equipment
p.2785

Application of ADS8364 on the Attitude and Heading Reference
p.2789

Optimization Design of Track and Field Line Reconstruction Based on Embedded System
p.2794

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Denoising Technology Application Research on EMD...

Denoising Technology Application Research on EMD in Hydroacoustics

Abstract:

In order to effectively extract signal information from underwater acoustic environment and complete ability to denoise, based on EMD’s denoising and differences of respective autocorrelation functions between noise and signal, aiming at shortcomings of absence from stability in demarcation point between noise and signal that are in line with energy change curve, the paper puts forward a kind of EMD’s new-type denoising method that is based on characteristics of autocorrelation functions. Moreover, it verifies effectiveness of this method through a large number of simulation experiments.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

2776-2780

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.2776

Citation:

Cite this paper

Online since:

August 2014

Authors:

Xin Yu Yao*

Keywords:

Application, Autocorrelation Functions, Denoising Technology, Empirical Mode Decomposition (EMD)

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

* - Corresponding Author

References

[1] Wang Ting, EMD Algorithm Research and Its Application in Signal Denoising[D], Harbin: Harbin Engineering University Press, (2010).

Google Scholar

[2] Cheng Jun, Application of EMD Method on Fault Diagnosis of Rotor's Local Rub-Impact, Vibration[J], Measurement & Diagnosis, 2006, (12): 26-27.

Google Scholar

[3] Duan Shengquan, He Zhenhua, Huang Deji, HHT Method and Its Application on Seismic Signal Processing[J], Journal of Chengdu University of Technology: Natural Science Edition, 2005, 32(4): 396-400.

Google Scholar

[4] Gong Xiangfu, Han Guoli, Wang Enli, et al., High Resolution of Pressing Noise Radon Converter Technique[J], Journal of Jilin University: Geoscience Edition, 2009, 39(1): 152-157.

Google Scholar

[5] Han Chunming, Guo Huadong, Wang Changlin, et al., Multiple Scale Edge Extraction Based on EMD Method[J], High Technology Communication, 2003, (6): 13-17.

Google Scholar

[6] Liu Zhongxuan, Peng Silong, EMD Decomposition and Its Application in Texture Segmentation[J], China Science: E-edition Information Science, 2005, 35(2): 113-123.

Google Scholar

[7] Xu Guanlei, Wang Xiaotong, Xu Xiaogang, et al., Image Intensification of EMD Based on Limited Neighborhood[J], Electron Journal, 2006, 34(9): 99-103.

Google Scholar

[8] He Jingbo, Peng Fuyuan, Image Compression algorithm Based on Improved EMD[J], Journal of Infrared and Millimeter Waves, 2008, 27(4): 295-298.

Google Scholar

[9] Guo Shuqing, Band Filter Screening of EMD[J], Journal of Civil Aviation University of China, 2008, 26(4): 30-36.

Google Scholar

[10] Li Qing, Research on Raman Spectrum Denoising Method of EMD[J], Spectroscopy and Spectral Analysis, 2009, 29(1): 142-147.

Google Scholar