Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet
Wavelet transform is one of the most desirable tools for depressing noise. However, the traditional linear wavelets are not always suitable for any real world signals with strong background noises. In this work, we present a new morphological wavelet, named averaged dilation-erosion morphological wa...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2018/4037835 |
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| author | Ye Lu Ke-dong Zhou Peng-han Gong Bing Li |
| author_facet | Ye Lu Ke-dong Zhou Peng-han Gong Bing Li |
| author_sort | Ye Lu |
| collection | DOAJ |
| description | Wavelet transform is one of the most desirable tools for depressing noise. However, the traditional linear wavelets are not always suitable for any real world signals with strong background noises. In this work, we present a new morphological wavelet, named averaged dilation-erosion morphological wavelet (ADEMW), for depressing the noise in signals of firing shock force on the shoulder. Simulated signals with different SNRs are generated to evaluate and compare the proposed new wavelet scheme with the traditional linear wavelet and another two morphological wavelets presented in literature. Experimental results reveal that the presented ADEMW gives the most promising noise suppression performance. Then, the ADEMW is employed to process the real-world signals acquired from a firing shock force testing system. Processing results demonstrate that the ADEMW also outperforms another three wavelets obviously for depressing the strong background noise in the signals of firing shock force on the shoulder. The main impulsive components in the firing shock force can be clearly detected for analyzing the impacts on shoulder during the shooting process. The presented ADEMW scheme has provided a novel desirable tool for analyzing the complicated signals with strong noise. |
| format | Article |
| id | doaj-art-ac90b09c1aa841be8cc26ced4f6f88a8 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-ac90b09c1aa841be8cc26ced4f6f88a82025-02-03T05:51:50ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/40378354037835Effective Denoising of Firing Shock Force on Shoulder by Morphological WaveletYe Lu0Ke-dong Zhou1Peng-han Gong2Bing Li3School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, ChinaSchool of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, ChinaFirst Department, Mechanical Engineering College, No. 97, He-ping West Road, Shi Jia-zhuang 050003, He Bei Province, ChinaFirst Department, Mechanical Engineering College, No. 97, He-ping West Road, Shi Jia-zhuang 050003, He Bei Province, ChinaWavelet transform is one of the most desirable tools for depressing noise. However, the traditional linear wavelets are not always suitable for any real world signals with strong background noises. In this work, we present a new morphological wavelet, named averaged dilation-erosion morphological wavelet (ADEMW), for depressing the noise in signals of firing shock force on the shoulder. Simulated signals with different SNRs are generated to evaluate and compare the proposed new wavelet scheme with the traditional linear wavelet and another two morphological wavelets presented in literature. Experimental results reveal that the presented ADEMW gives the most promising noise suppression performance. Then, the ADEMW is employed to process the real-world signals acquired from a firing shock force testing system. Processing results demonstrate that the ADEMW also outperforms another three wavelets obviously for depressing the strong background noise in the signals of firing shock force on the shoulder. The main impulsive components in the firing shock force can be clearly detected for analyzing the impacts on shoulder during the shooting process. The presented ADEMW scheme has provided a novel desirable tool for analyzing the complicated signals with strong noise.http://dx.doi.org/10.1155/2018/4037835 |
| spellingShingle | Ye Lu Ke-dong Zhou Peng-han Gong Bing Li Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet Shock and Vibration |
| title | Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet |
| title_full | Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet |
| title_fullStr | Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet |
| title_full_unstemmed | Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet |
| title_short | Effective Denoising of Firing Shock Force on Shoulder by Morphological Wavelet |
| title_sort | effective denoising of firing shock force on shoulder by morphological wavelet |
| url | http://dx.doi.org/10.1155/2018/4037835 |
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