Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features
This paper proposes a regularized generalized orthogonal matching pursuit algorithm with dynamic compensation characteristics based on the application context of compressive sensing in shock wave signal testing. We add dynamic compensation denoising as a regularization condition to the reconstructio...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2022/4035279 |
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| _version_ | 1832562531835576320 |
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| author | Mingchi Ju Yingjie Dai Tailin Han Yingzhi Wang Bo Xu Xuan Liu |
| author_facet | Mingchi Ju Yingjie Dai Tailin Han Yingzhi Wang Bo Xu Xuan Liu |
| author_sort | Mingchi Ju |
| collection | DOAJ |
| description | This paper proposes a regularized generalized orthogonal matching pursuit algorithm with dynamic compensation characteristics based on the application context of compressive sensing in shock wave signal testing. We add dynamic compensation denoising as a regularization condition to the reconstruction algorithm. The resonant noise is identified and suppressed according to the signal a priori characteristics, and the denoised signal is reconstructed directly from the original signal downsampling measurements. The signal-to-noise ratio of the output signal is improved while reducing the amount of data transmitted by the signal. The proposed algorithm’s applicability and internal parameter robustness are experimentally analyzed in the paper. We compare the proposed algorithm with similar compression-aware reconstruction and dynamic compensation algorithms under the shock tube test and measured shock wave signals. The results from the reconstruction signal-to-noise ratio and the number of measurements required for reconstruction verify the algorithm’s effectiveness in this paper. |
| format | Article |
| id | doaj-art-5b5882872a1c487dadfd645245116dd3 |
| institution | Kabale University |
| issn | 1875-9203 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-5b5882872a1c487dadfd645245116dd32025-02-03T01:22:27ZengWileyShock and Vibration1875-92032022-01-01202210.1155/2022/4035279Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation FeaturesMingchi Ju0Yingjie Dai1Tailin Han2Yingzhi Wang3Bo Xu4Xuan Liu5School of Electronics and Information EngineeringSchool of Electronics and Information EngineeringSchool of Electronics and Information EngineeringSchool of Electronics and Information EngineeringSchool of Electronics and Information EngineeringSchool of Electronics and Information EngineeringThis paper proposes a regularized generalized orthogonal matching pursuit algorithm with dynamic compensation characteristics based on the application context of compressive sensing in shock wave signal testing. We add dynamic compensation denoising as a regularization condition to the reconstruction algorithm. The resonant noise is identified and suppressed according to the signal a priori characteristics, and the denoised signal is reconstructed directly from the original signal downsampling measurements. The signal-to-noise ratio of the output signal is improved while reducing the amount of data transmitted by the signal. The proposed algorithm’s applicability and internal parameter robustness are experimentally analyzed in the paper. We compare the proposed algorithm with similar compression-aware reconstruction and dynamic compensation algorithms under the shock tube test and measured shock wave signals. The results from the reconstruction signal-to-noise ratio and the number of measurements required for reconstruction verify the algorithm’s effectiveness in this paper.http://dx.doi.org/10.1155/2022/4035279 |
| spellingShingle | Mingchi Ju Yingjie Dai Tailin Han Yingzhi Wang Bo Xu Xuan Liu Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features Shock and Vibration |
| title | Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features |
| title_full | Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features |
| title_fullStr | Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features |
| title_full_unstemmed | Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features |
| title_short | Improved Compressed Sensing Reconfiguration Algorithm with Shockwave Dynamic Compensation Features |
| title_sort | improved compressed sensing reconfiguration algorithm with shockwave dynamic compensation features |
| url | http://dx.doi.org/10.1155/2022/4035279 |
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