A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method
This paper proposes a new signal decomposition method that aims to decompose a multicomponent signal into monocomponent signal. The main procedure is to extract the components with frequencies higher than a given bisecting frequency by three steps: (1) the generalized demodulation is used to project...
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Hindawi Limited
2017-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2017/7286946 |
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doaj-8ecee2c9d8494c899e56577953f4d2242020-11-25T01:01:48ZengHindawi LimitedShock and Vibration1070-96221875-92032017-01-01201710.1155/2017/72869467286946A Generalized Demodulation and Hilbert Transform Based Signal Decomposition MethodZhi-Xiang Hu0Wei-Xin Ren1Zuo-Cai Wang2Yue-Ling Jing3Xia Yang4Department of Civil Engineering, Hefei University of Technology, Hefei, Anhui Province 23009, ChinaDepartment of Civil Engineering, Hefei University of Technology, Hefei, Anhui Province 23009, ChinaDepartment of Civil Engineering, Hefei University of Technology, Hefei, Anhui Province 23009, ChinaDepartment of Civil Engineering, Hefei University of Technology, Hefei, Anhui Province 23009, ChinaDepartment of Civil Engineering, Hefei University of Technology, Hefei, Anhui Province 23009, ChinaThis paper proposes a new signal decomposition method that aims to decompose a multicomponent signal into monocomponent signal. The main procedure is to extract the components with frequencies higher than a given bisecting frequency by three steps: (1) the generalized demodulation is used to project the components with lower frequencies onto negative frequency domain, (2) the Hilbert transform is performed to eliminate the negative frequency components, and (3) the inverse generalized demodulation is used to obtain the signal which contains components with higher frequencies only. By running the procedure recursively, all monocomponent signals can be extracted efficiently. A comprehensive derivation of the decomposition method is provided. The validity of the proposed method has been demonstrated by extensive numerical analysis. The proposed method is also applied to decompose the dynamic strain signal of a cable-stayed bridge and the echolocation signal of a bat.http://dx.doi.org/10.1155/2017/7286946 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhi-Xiang Hu Wei-Xin Ren Zuo-Cai Wang Yue-Ling Jing Xia Yang |
spellingShingle |
Zhi-Xiang Hu Wei-Xin Ren Zuo-Cai Wang Yue-Ling Jing Xia Yang A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method Shock and Vibration |
author_facet |
Zhi-Xiang Hu Wei-Xin Ren Zuo-Cai Wang Yue-Ling Jing Xia Yang |
author_sort |
Zhi-Xiang Hu |
title |
A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method |
title_short |
A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method |
title_full |
A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method |
title_fullStr |
A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method |
title_full_unstemmed |
A Generalized Demodulation and Hilbert Transform Based Signal Decomposition Method |
title_sort |
generalized demodulation and hilbert transform based signal decomposition method |
publisher |
Hindawi Limited |
series |
Shock and Vibration |
issn |
1070-9622 1875-9203 |
publishDate |
2017-01-01 |
description |
This paper proposes a new signal decomposition method that aims to decompose a multicomponent signal into monocomponent signal. The main procedure is to extract the components with frequencies higher than a given bisecting frequency by three steps: (1) the generalized demodulation is used to project the components with lower frequencies onto negative frequency domain, (2) the Hilbert transform is performed to eliminate the negative frequency components, and (3) the inverse generalized demodulation is used to obtain the signal which contains components with higher frequencies only. By running the procedure recursively, all monocomponent signals can be extracted efficiently. A comprehensive derivation of the decomposition method is provided. The validity of the proposed method has been demonstrated by extensive numerical analysis. The proposed method is also applied to decompose the dynamic strain signal of a cable-stayed bridge and the echolocation signal of a bat. |
url |
http://dx.doi.org/10.1155/2017/7286946 |
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