An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noising
MWC implements the synchronous compression sampling of sparse wideband signal, however, there is still room for improvement in the anti-interference of the existing reconstruction algorithm. So this paper proposes an improved MWC reconstruction algorithm based on wavelet threshold de-noising. By app...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2018-11-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000093793 |
| _version_ | 1811322229053456384 |
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| author | Wen Wanying Li Zhi |
| author_facet | Wen Wanying Li Zhi |
| author_sort | Wen Wanying |
| collection | DOAJ |
| description | MWC implements the synchronous compression sampling of sparse wideband signal, however, there is still room for improvement in the anti-interference of the existing reconstruction algorithm. So this paper proposes an improved MWC reconstruction algorithm based on wavelet threshold de-noising. By applying stationary wavelet transform to MWC samples and designing the selection rules of wavelet coefficients, the edge information of the signal is preserved as much as possible while de-noising, which reduces the signal distortion caused by over-smoothing. Experiments show that the method has good de-noising effect at low SNR level, and the reconstruction rate can increase by 21.8% at most. Because of its good portability, it can be used with other reconstruction algorithms that reduce the number of channels or running time to further improve the performance of the whole MWC system. |
| first_indexed | 2024-04-13T13:32:38Z |
| format | Article |
| id | doaj.art-6bb1b153ce684fd98b174f99e36d3238 |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-04-13T13:32:38Z |
| publishDate | 2018-11-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-6bb1b153ce684fd98b174f99e36d32382022-12-22T02:44:55ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982018-11-014411646710.16157/j.issn.0258-7998.1816153000093793An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noisingWen Wanying0Li Zhi1College of Electronics and Information Engineering，Sichuan University，Chengdu 610065，ChinaCollege of Electronics and Information Engineering，Sichuan University，Chengdu 610065，ChinaMWC implements the synchronous compression sampling of sparse wideband signal, however, there is still room for improvement in the anti-interference of the existing reconstruction algorithm. So this paper proposes an improved MWC reconstruction algorithm based on wavelet threshold de-noising. By applying stationary wavelet transform to MWC samples and designing the selection rules of wavelet coefficients, the edge information of the signal is preserved as much as possible while de-noising, which reduces the signal distortion caused by over-smoothing. Experiments show that the method has good de-noising effect at low SNR level, and the reconstruction rate can increase by 21.8% at most. Because of its good portability, it can be used with other reconstruction algorithms that reduce the number of channels or running time to further improve the performance of the whole MWC system.http://www.chinaaet.com/article/3000093793compressed sensingmodulated wideband converterwavelet transformneighbor threshold |
| spellingShingle | Wen Wanying Li Zhi An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noising Dianzi Jishu Yingyong compressed sensing modulated wideband converter wavelet transform neighbor threshold |
| title | An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noising |
| title_full | An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noising |
| title_fullStr | An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noising |
| title_full_unstemmed | An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noising |
| title_short | An improved MWC reconstruction algorithm based on wavelet neighbor threshold de-noising |
| title_sort | improved mwc reconstruction algorithm based on wavelet neighbor threshold de noising |
| topic | compressed sensing modulated wideband converter wavelet transform neighbor threshold |
| url | http://www.chinaaet.com/article/3000093793 |
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