English  |  正體中文  |  简体中文  |  Items with full text/Total items : 26994/38795
Visitors : 2388291      Online Users : 54
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

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
wavelet
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

Files in This Item:

File Description SizeFormat
index.html0KbHTML6View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback