Time‐frequency synchroextracting transform
Abstract The study proposes a novel time‐frequency analysis technique, titled time‐frequency synchroextracting transform which enhances the accuracy of synchroextracting transform. The synchroextracting transform is a powerful postprocessing method that sharpens the energy distribution of spectrogra...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-04-01
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| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12073 |
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| _version_ | 1849686888085979136 |
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| author | Ran Zhang Xingxing Liu Yongjun Zheng Haotun Lv Baosheng Li Shenghui Yang Yu Tan |
| author_facet | Ran Zhang Xingxing Liu Yongjun Zheng Haotun Lv Baosheng Li Shenghui Yang Yu Tan |
| author_sort | Ran Zhang |
| collection | DOAJ |
| description | Abstract The study proposes a novel time‐frequency analysis technique, titled time‐frequency synchroextracting transform which enhances the accuracy of synchroextracting transform. The synchroextracting transform is a powerful postprocessing method that sharpens the energy distribution of spectrogram. However, its limitation is the sole use of time or frequency factors that cannot accurately portray signals containing both ‘slow‐varying’ and ‘fast‐changing’ components. The proposed method applies the synchroextracting procedure in both time and frequency dimensions to improve the energy concentration. A fast Fourier transform‐‐based algorithm is also provided for efficient implementation. The proposed method is validated via numerical and empirical data. Compared with advanced methods including synchrosqueezing transform and synchroextracting transform, the proposed method is suitable to analyse wider range of signals and has better noise robustness than the original synchroextracting transform. |
| format | Article |
| id | doaj-art-00a0d216022741f8984a6fb1ad8861af |
| institution | DOAJ |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2022-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-00a0d216022741f8984a6fb1ad8861af2025-08-20T03:22:31ZengWileyIET Signal Processing1751-96751751-96832022-04-0116211713110.1049/sil2.12073Time‐frequency synchroextracting transformRan Zhang0Xingxing Liu1Yongjun Zheng2Haotun Lv3Baosheng Li4Shenghui Yang5Yu Tan6College of Engineering China Agricultural University Beijing ChinaCollege of Engineering China Agricultural University Beijing ChinaCollege of Engineering China Agricultural University Beijing ChinaCollege of Engineering China Agricultural University Beijing ChinaCollege of Engineering China Agricultural University Beijing ChinaCollege of Engineering China Agricultural University Beijing ChinaCollege of Engineering China Agricultural University Beijing ChinaAbstract The study proposes a novel time‐frequency analysis technique, titled time‐frequency synchroextracting transform which enhances the accuracy of synchroextracting transform. The synchroextracting transform is a powerful postprocessing method that sharpens the energy distribution of spectrogram. However, its limitation is the sole use of time or frequency factors that cannot accurately portray signals containing both ‘slow‐varying’ and ‘fast‐changing’ components. The proposed method applies the synchroextracting procedure in both time and frequency dimensions to improve the energy concentration. A fast Fourier transform‐‐based algorithm is also provided for efficient implementation. The proposed method is validated via numerical and empirical data. Compared with advanced methods including synchrosqueezing transform and synchroextracting transform, the proposed method is suitable to analyse wider range of signals and has better noise robustness than the original synchroextracting transform.https://doi.org/10.1049/sil2.12073synchroextracting transformsynchrosqueezing transformtime‐frequency analysis |
| spellingShingle | Ran Zhang Xingxing Liu Yongjun Zheng Haotun Lv Baosheng Li Shenghui Yang Yu Tan Time‐frequency synchroextracting transform IET Signal Processing synchroextracting transform synchrosqueezing transform time‐frequency analysis |
| title | Time‐frequency synchroextracting transform |
| title_full | Time‐frequency synchroextracting transform |
| title_fullStr | Time‐frequency synchroextracting transform |
| title_full_unstemmed | Time‐frequency synchroextracting transform |
| title_short | Time‐frequency synchroextracting transform |
| title_sort | time frequency synchroextracting transform |
| topic | synchroextracting transform synchrosqueezing transform time‐frequency analysis |
| url | https://doi.org/10.1049/sil2.12073 |
| work_keys_str_mv | AT ranzhang timefrequencysynchroextractingtransform AT xingxingliu timefrequencysynchroextractingtransform AT yongjunzheng timefrequencysynchroextractingtransform AT haotunlv timefrequencysynchroextractingtransform AT baoshengli timefrequencysynchroextractingtransform AT shenghuiyang timefrequencysynchroextractingtransform AT yutan timefrequencysynchroextractingtransform |