Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/641298
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dc.contributor.authorTao Wangen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorKun Liuen_US
dc.contributor.authorJunfeng Jiangen_US
dc.contributor.authorLin Yuen_US
dc.contributor.authorMeng Xueen_US
dc.contributor.authorYunxia Mengen_US
dc.date.accessioned2020-05-20T10:03:54Z-
dc.date.available2020-05-20T10:03:54Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2564439en_US
dc.identifier.urihttp://localhost/handle/Hannan/175450en_US
dc.identifier.urihttp://localhost/handle/Hannan/641298-
dc.descriptionen_US
dc.description.abstractWe present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm.en_US
dc.publisherIEEEen_US
dc.relation.haspart7466077.pdfen_US
dc.subjecttemperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD)en_US
dc.titleAn EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensoren_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.authorTao Wangen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorKun Liuen_US
dc.contributor.authorJunfeng Jiangen_US
dc.contributor.authorLin Yuen_US
dc.contributor.authorMeng Xueen_US
dc.contributor.authorYunxia Mengen_US
dc.date.accessioned2020-05-20T10:03:54Z-
dc.date.available2020-05-20T10:03:54Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2564439en_US
dc.identifier.urihttp://localhost/handle/Hannan/175450en_US
dc.identifier.urihttp://localhost/handle/Hannan/641298-
dc.descriptionen_US
dc.description.abstractWe present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm.en_US
dc.publisherIEEEen_US
dc.relation.haspart7466077.pdfen_US
dc.subjecttemperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD)en_US
dc.titleAn EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensoren_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 
7466077.pdf948.54 kBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTao Wangen_US
dc.contributor.authorTiegen Liuen_US
dc.contributor.authorKun Liuen_US
dc.contributor.authorJunfeng Jiangen_US
dc.contributor.authorLin Yuen_US
dc.contributor.authorMeng Xueen_US
dc.contributor.authorYunxia Mengen_US
dc.date.accessioned2020-05-20T10:03:54Z-
dc.date.available2020-05-20T10:03:54Z-
dc.date.issued2016en_US
dc.identifier.issn1943-0655en_US
dc.identifier.other10.1109/JPHOT.2016.2564439en_US
dc.identifier.urihttp://localhost/handle/Hannan/175450en_US
dc.identifier.urihttp://localhost/handle/Hannan/641298-
dc.descriptionen_US
dc.description.abstractWe present a filtering algorithm based on empirical mode decomposition (EMD) for the data demodulation of the fiber-optic surface plasmon resonance (SPR) sensor. After data preprocessing by the EMD-based filtering algorithm, three methods are compared to obtain the valley wavelength of the SPR. The results show that by using the Gaussian-fitting method, the smallest standard deviation is obtained. Based on the proposed algorithm, the related temperature sensor based on fiber-optic SPR gets the sensitivity of 335.7 pm/°C at 20 °C and 626.9 pm/°C at 99 °C, resulting in temperature resolutions of 0.06 °C at 20 °C and 0.03 °C at 99 °C via the spectrometer resolution of 20 pm.en_US
dc.publisherIEEEen_US
dc.relation.haspart7466077.pdfen_US
dc.subjecttemperature sensor|surface plasmon resonance (SPR)|empirical mode decomposition (EMD)en_US
dc.titleAn EMD-Based Filtering Algorithm for the Fiber-Optic SPR Sensoren_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 
7466077.pdf948.54 kBAdobe PDFThumbnail
Preview File