Fractional synchrosqueezing transform for enhanced multicomponent signal separation
Abstract The precise separation of multicomponent signals encounters numerous challenges due to the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) is one of the important technologies for improving the accurate separation of multicomponent signals, but it faces c...
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| Format: | Article |
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Nature Portfolio
2024-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-68216-x |
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| author | Yangyang Li Dzati Athiar Ramli |
| author_facet | Yangyang Li Dzati Athiar Ramli |
| author_sort | Yangyang Li |
| collection | DOAJ |
| description | Abstract The precise separation of multicomponent signals encounters numerous challenges due to the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) is one of the important technologies for improving the accurate separation of multicomponent signals, but it faces challenges in terms of the difficulty and effectiveness of squeezing. This paper introduces a multicomponent signal separation method based on innovative Fractional Synchrosqueezing Transform (FrSST). FrSST rearranges along the fractional frequency axis, improving the accuracy of time–frequency ridges and, consequently, enhancing the precision of multicomponent signal separation. In the signal reconstruction process, chirp multiplication and energy rearrangement compensate for chirp bases’ effects, boosting energy concentration and reconstruction potential. Utilizing improved ridges from FrSST ensures effective signal reconstruction. Simulation comparisons demonstrate that, with varying SNRs from − 5 to 15 dB, the reconstructed components based on FrSST exhibit favorable approximation to the original signal components. Furthermore, as the sample size increases, the proposed algorithm shows satisfactory computational efficiency. |
| format | Article |
| id | doaj-art-4aa9a79dd7a540728acf414596ae6e03 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4aa9a79dd7a540728acf414596ae6e032025-02-02T12:25:26ZengNature PortfolioScientific Reports2045-23222024-08-0114111910.1038/s41598-024-68216-xFractional synchrosqueezing transform for enhanced multicomponent signal separationYangyang Li0Dzati Athiar Ramli1School of Electrical and Electronic Engineering, USM Engineering Campus, Universiti Sains MalaysiaSchool of Electrical and Electronic Engineering, USM Engineering Campus, Universiti Sains MalaysiaAbstract The precise separation of multicomponent signals encounters numerous challenges due to the complexity of signals and widespread interference. Synchrosqueezing Transform (SST) is one of the important technologies for improving the accurate separation of multicomponent signals, but it faces challenges in terms of the difficulty and effectiveness of squeezing. This paper introduces a multicomponent signal separation method based on innovative Fractional Synchrosqueezing Transform (FrSST). FrSST rearranges along the fractional frequency axis, improving the accuracy of time–frequency ridges and, consequently, enhancing the precision of multicomponent signal separation. In the signal reconstruction process, chirp multiplication and energy rearrangement compensate for chirp bases’ effects, boosting energy concentration and reconstruction potential. Utilizing improved ridges from FrSST ensures effective signal reconstruction. Simulation comparisons demonstrate that, with varying SNRs from − 5 to 15 dB, the reconstructed components based on FrSST exhibit favorable approximation to the original signal components. Furthermore, as the sample size increases, the proposed algorithm shows satisfactory computational efficiency.https://doi.org/10.1038/s41598-024-68216-xSynchrosqueezing transform (SST)Fractional Fourier transform (FrFT)Multicomponent signalSignal reconstructionTime–frequency ridge |
| spellingShingle | Yangyang Li Dzati Athiar Ramli Fractional synchrosqueezing transform for enhanced multicomponent signal separation Scientific Reports Synchrosqueezing transform (SST) Fractional Fourier transform (FrFT) Multicomponent signal Signal reconstruction Time–frequency ridge |
| title | Fractional synchrosqueezing transform for enhanced multicomponent signal separation |
| title_full | Fractional synchrosqueezing transform for enhanced multicomponent signal separation |
| title_fullStr | Fractional synchrosqueezing transform for enhanced multicomponent signal separation |
| title_full_unstemmed | Fractional synchrosqueezing transform for enhanced multicomponent signal separation |
| title_short | Fractional synchrosqueezing transform for enhanced multicomponent signal separation |
| title_sort | fractional synchrosqueezing transform for enhanced multicomponent signal separation |
| topic | Synchrosqueezing transform (SST) Fractional Fourier transform (FrFT) Multicomponent signal Signal reconstruction Time–frequency ridge |
| url | https://doi.org/10.1038/s41598-024-68216-x |
| work_keys_str_mv | AT yangyangli fractionalsynchrosqueezingtransformforenhancedmulticomponentsignalseparation AT dzatiathiarramli fractionalsynchrosqueezingtransformforenhancedmulticomponentsignalseparation |