Signal Detection in Underwater Sound Using the Empirical Mode Decomposition(General Fundamentals and Boundaries)

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概要

• 論文の詳細を見る

• In this article, the empirical mode decomposition (EMD) is introduced to the problem of signal detection in underwater sound. EMD is a new method pioneered by Huang et al. for non-linear and non-stationary signal analysis. Based on the EMD, any input data can be decomposed into a small number of intrinsic mode functions (IMFs) which can serve as the basis of non-stationary data for they are complete, almost orthogonal, local and adaptive. Another useful tool for processing transient signals is discrete wavelet transform (DWT). In this paper, these IMFs are applied to determine when the particular signals appear. From the computer simulation, based on the receiver operating characteristics (ROC), a performance comparison shows that this proposed EMD-based detector is better than the DWT-based method.

• 社団法人電子情報通信学会の論文
• 2006-09-01

著者

• Lee Jenny

  Department Of Microelectronic Engineering National Kaohsiung Marine University

• WANG Fu-Tai

  Department of Electrical Engineering, National Taiwan Ocean University

• CHANG Shun-Hsyung

  Department of Electrical Engineering, National Taiwan Ocean University

• Lee Jenny

  Department Of Medicine And Geriatrics Shatin Hospital

• Wang Fu-tai

  Department Of Electrical Engineering National Taiwan Ocean University:department Of Electrical Engin

• Chang Shun-hsyung

  Department Of Electrical Engineering National Taiwan Ocean University:department Of Microelectronic

関連論文

• Signal Detection in Underwater Sound Using the Empirical Mode Decomposition(General Fundamentals and Boundaries)
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