Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/644691
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dc.contributor.authorHongxia Zhangen_US
dc.contributor.authorFeng Wangen_US
dc.contributor.authorDagong Jiaen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorYimo Zhangen_US
dc.date.accessioned2020-05-20T10:08:37Z-
dc.date.available2020-05-20T10:08:37Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2555625en_US
dc.identifier.urihttp://localhost/handle/Hannan/177248en_US
dc.identifier.urihttp://localhost/handle/Hannan/644691-
dc.descriptionen_US
dc.description.abstractLow-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult. In this paper, we propose a novel technique based on ensemble empirical mode decomposition and empirical mode decomposition (EEMD-EMD) to achieve automatic ITR from the spectral domain LCI. In EEMD, the correlation coefficient of each intrinsic mode function (IMF) is calculated, and a characteristic parameter (CP) is introduced to recognize and remove the IMFs of noisy components. The remaining IMFs are used to reconstruct a new signal followed by EMD to extract the interference term. An experiment based on distributed polarization coupling detection in polarization-maintaining fibers (PMFs) was conducted; the PMFs having different lengths and coupling intensities were investigated. It was shown that by setting an appropriate CP, the interference term could be automatically extracted. The relative errors of the extracted coupling intensity were less than 2%. This suggests that our method may have potential applications in interferometric measurement.en_US
dc.publisherIEEEen_US
dc.relation.haspart7456182.pdfen_US
dc.subjectinterference term retrieval|empirical mode decomposition|low-coherence interferometry|ensemble empirical mode decompositionen_US
dc.titleAutomatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Methoden_US
dc.typeArticleen_US
dc.journal.volume8en_US
dc.journal.issue3en_US
dc.journal.titleIEEE Photonics Journalen_US
Appears in Collections:2016

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorHongxia Zhangen_US
dc.contributor.authorFeng Wangen_US
dc.contributor.authorDagong Jiaen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorYimo Zhangen_US
dc.date.accessioned2020-05-20T10:08:37Z-
dc.date.available2020-05-20T10:08:37Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2555625en_US
dc.identifier.urihttp://localhost/handle/Hannan/177248en_US
dc.identifier.urihttp://localhost/handle/Hannan/644691-
dc.descriptionen_US
dc.description.abstractLow-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult. In this paper, we propose a novel technique based on ensemble empirical mode decomposition and empirical mode decomposition (EEMD-EMD) to achieve automatic ITR from the spectral domain LCI. In EEMD, the correlation coefficient of each intrinsic mode function (IMF) is calculated, and a characteristic parameter (CP) is introduced to recognize and remove the IMFs of noisy components. The remaining IMFs are used to reconstruct a new signal followed by EMD to extract the interference term. An experiment based on distributed polarization coupling detection in polarization-maintaining fibers (PMFs) was conducted; the PMFs having different lengths and coupling intensities were investigated. It was shown that by setting an appropriate CP, the interference term could be automatically extracted. The relative errors of the extracted coupling intensity were less than 2%. This suggests that our method may have potential applications in interferometric measurement.en_US
dc.publisherIEEEen_US
dc.relation.haspart7456182.pdfen_US
dc.subjectinterference term retrieval|empirical mode decomposition|low-coherence interferometry|ensemble empirical mode decompositionen_US
dc.titleAutomatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Methoden_US
dc.typeArticleen_US
dc.journal.volume8en_US
dc.journal.issue3en_US
dc.journal.titleIEEE Photonics Journalen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7456182.pdf1.99 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHongxia Zhangen_US
dc.contributor.authorFeng Wangen_US
dc.contributor.authorDagong Jiaen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorYimo Zhangen_US
dc.date.accessioned2020-05-20T10:08:37Z-
dc.date.available2020-05-20T10:08:37Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2555625en_US
dc.identifier.urihttp://localhost/handle/Hannan/177248en_US
dc.identifier.urihttp://localhost/handle/Hannan/644691-
dc.descriptionen_US
dc.description.abstractLow-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult. In this paper, we propose a novel technique based on ensemble empirical mode decomposition and empirical mode decomposition (EEMD-EMD) to achieve automatic ITR from the spectral domain LCI. In EEMD, the correlation coefficient of each intrinsic mode function (IMF) is calculated, and a characteristic parameter (CP) is introduced to recognize and remove the IMFs of noisy components. The remaining IMFs are used to reconstruct a new signal followed by EMD to extract the interference term. An experiment based on distributed polarization coupling detection in polarization-maintaining fibers (PMFs) was conducted; the PMFs having different lengths and coupling intensities were investigated. It was shown that by setting an appropriate CP, the interference term could be automatically extracted. The relative errors of the extracted coupling intensity were less than 2%. This suggests that our method may have potential applications in interferometric measurement.en_US
dc.publisherIEEEen_US
dc.relation.haspart7456182.pdfen_US
dc.subjectinterference term retrieval|empirical mode decomposition|low-coherence interferometry|ensemble empirical mode decompositionen_US
dc.titleAutomatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Methoden_US
dc.typeArticleen_US
dc.journal.volume8en_US
dc.journal.issue3en_US
dc.journal.titleIEEE Photonics Journalen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7456182.pdf1.99 MBAdobe PDFThumbnail
Preview File