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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51470

Title: Wavelet-based Shift-Invariant Noise Mode
Authors: Fu-Tai Wang
Jenny Chih-Yu Lee
Shun-Hsyung Chang
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: dual-tree discrete wavelet transform
underwater sound
detection
Date: 2006-12
Issue Date: 2018-11-30T06:08:46Z
Publisher: Journal of Marine Science and Technology
Abstract: ABSTRACT: This paper proposes the use of shift-invariant dual-tree discrete
wavelet transform (DT DWT) noise model to the problem of a
multipath signal detection in underwater environment. The design
procedure for this adaptive model of the background noise is described.
When an input signal is shifted, as in a multipath environment, this
shift-invariant DT DWT can generate multi-resolution subspaces.
Each of them keeps more coefficient energy of this signal than
DWT’s. The result of computer simulations shows that this method
can improve the performance of a multipath signal detection, by
reducing the false alarm probability in a range of different signal-tonoise
(SNR) ratios.
Relation: 14(4) pp.195-201
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51470
Appears in Collections:[電機工程學系] 期刊論文

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