The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control
To improve the accuracy effect of the iterative hard threshold, an improved iterative hard threshold (IHT) method is proposed. The specific contents of this method include the principle of an IHT algorithm based on compression sensing (nonlinear optimization), weighted least squares improvement, the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2023-08-01
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| Series: | Nonlinear Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nleng-2022-0305 |
| _version_ | 1797752437799387136 |
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| author | Jiang Kun Bradha M. |
| author_facet | Jiang Kun Bradha M. |
| author_sort | Jiang Kun |
| collection | DOAJ |
| description | To improve the accuracy effect of the iterative hard threshold, an improved iterative hard threshold (IHT) method is proposed. The specific contents of this method include the principle of an IHT algorithm based on compression sensing (nonlinear optimization), weighted least squares improvement, the establishment of an IHT algorithm model based on weighted least squares improvement, and the experimental research of traditional algorithms and improved algorithms on one-dimensional signal reconstruction. The results show that the improved IRLSIHT algorithm takes 8.37, 29.63, and 30.86 s when the sampling rate is 0.2, 0.5, and 0.8, respectively, and the signal-to-noise ratio is 20.11, 27.47, and 31.82 dB, respectively. Compared with the traditional IHT algorithm, it takes a long time, which is a deficiency, but the signal-to-noise ratio is the largest, and the improved algorithm improves the accuracy. It has been proven that combining the method proposed in this article with automatic control can significantly save time and increase industrial output. |
| first_indexed | 2024-03-12T17:04:25Z |
| format | Article |
| id | doaj.art-dae44da3f3cd4e52aededeefa1a6cd46 |
| institution | Directory Open Access Journal |
| issn | 2192-8029 |
| language | English |
| last_indexed | 2024-03-12T17:04:25Z |
| publishDate | 2023-08-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Nonlinear Engineering |
| spelling | doaj.art-dae44da3f3cd4e52aededeefa1a6cd462023-08-07T06:56:55ZengDe GruyterNonlinear Engineering2192-80292023-08-011215451310.1515/nleng-2022-0305The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic controlJiang Kun0Bradha M.1School of Information Engineering, Xinxiang Vocational and Technical College, Xinxiang, Henan 453006, ChinaDepartment of Physics, Rathinam Technical Campus, Coimbatore, Tamil Nadu, IndiaTo improve the accuracy effect of the iterative hard threshold, an improved iterative hard threshold (IHT) method is proposed. The specific contents of this method include the principle of an IHT algorithm based on compression sensing (nonlinear optimization), weighted least squares improvement, the establishment of an IHT algorithm model based on weighted least squares improvement, and the experimental research of traditional algorithms and improved algorithms on one-dimensional signal reconstruction. The results show that the improved IRLSIHT algorithm takes 8.37, 29.63, and 30.86 s when the sampling rate is 0.2, 0.5, and 0.8, respectively, and the signal-to-noise ratio is 20.11, 27.47, and 31.82 dB, respectively. Compared with the traditional IHT algorithm, it takes a long time, which is a deficiency, but the signal-to-noise ratio is the largest, and the improved algorithm improves the accuracy. It has been proven that combining the method proposed in this article with automatic control can significantly save time and increase industrial output.https://doi.org/10.1515/nleng-2022-0305iterative hard threshold algorithmelectronic information technologyauto-control |
| spellingShingle | Jiang Kun Bradha M. The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control Nonlinear Engineering iterative hard threshold algorithm electronic information technology auto-control |
| title | The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control |
| title_full | The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control |
| title_fullStr | The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control |
| title_full_unstemmed | The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control |
| title_short | The application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control |
| title_sort | application of iterative hard threshold algorithm based on nonlinear optimal compression sensing and electronic information technology in the field of automatic control |
| topic | iterative hard threshold algorithm electronic information technology auto-control |
| url | https://doi.org/10.1515/nleng-2022-0305 |
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