Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing Model
The computational time of compressed sensing algorithms applied to supraharmonic needs to be improved in online applications. In this paper, a simplified supraharmonic compressive sensing model is proposed. The model first detects the supraharmonic raw spectral array to obtain the estimated sparsity...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/1/141 |
| _version_ | 1797625954284077056 |
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| author | Zesen Gui Qun Zhou Hui Zhou Zheng Liao Ziyi Wang |
| author_facet | Zesen Gui Qun Zhou Hui Zhou Zheng Liao Ziyi Wang |
| author_sort | Zesen Gui |
| collection | DOAJ |
| description | The computational time of compressed sensing algorithms applied to supraharmonic needs to be improved in online applications. In this paper, a simplified supraharmonic compressive sensing model is proposed. The model first detects the supraharmonic raw spectral array to obtain the estimated sparsity and the index of supraharmonic emissions, which simplifies the sensing matrix in the iteration according to the index and then shortens the whole iteration time of compressed sensing. The simulation verifies that the model can reduce the computation time to less than half of the original compressed sensing model and does not affect the computation accuracy. Finally, the online application effect of the algorithm is verified by experiments. |
| first_indexed | 2024-03-11T10:03:47Z |
| format | Article |
| id | doaj.art-4ac9f190d886405e9c5a4f635f19d031 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T10:03:47Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-4ac9f190d886405e9c5a4f635f19d0312023-11-16T15:11:41ZengMDPI AGElectronics2079-92922022-12-0112114110.3390/electronics12010141Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing ModelZesen Gui0Qun Zhou1Hui Zhou2Zheng Liao3Ziyi Wang4College of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaThe computational time of compressed sensing algorithms applied to supraharmonic needs to be improved in online applications. In this paper, a simplified supraharmonic compressive sensing model is proposed. The model first detects the supraharmonic raw spectral array to obtain the estimated sparsity and the index of supraharmonic emissions, which simplifies the sensing matrix in the iteration according to the index and then shortens the whole iteration time of compressed sensing. The simulation verifies that the model can reduce the computation time to less than half of the original compressed sensing model and does not affect the computation accuracy. Finally, the online application effect of the algorithm is verified by experiments.https://www.mdpi.com/2079-9292/12/1/141supraharmoniccompression sensing algorithmsparsitydata distribution |
| spellingShingle | Zesen Gui Qun Zhou Hui Zhou Zheng Liao Ziyi Wang Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing Model Electronics supraharmonic compression sensing algorithm sparsity data distribution |
| title | Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing Model |
| title_full | Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing Model |
| title_fullStr | Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing Model |
| title_full_unstemmed | Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing Model |
| title_short | Fast Supraharmonic Estimation Algorithm Based on Simplified Compressed Sensing Model |
| title_sort | fast supraharmonic estimation algorithm based on simplified compressed sensing model |
| topic | supraharmonic compression sensing algorithm sparsity data distribution |
| url | https://www.mdpi.com/2079-9292/12/1/141 |
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