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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51471

Title: Signal Detection in Underwater Sound Using the Empirical Mode Decomposition
Authors: Fu-Tai WANG
Shun-Hsyung CHANG
Jenny Chih-Yu LEE
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: empirical mode decomposition
underwater sound
signal detection
Date: 2006-09-01
Issue Date: 2018-11-30T06:15:59Z
Publisher: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Abstract: ABSTRACT: 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.
Relation: 89(9) pp.2415-2421
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51471
Appears in Collections:[電機工程學系] 期刊論文

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