• Laser & Optoelectronics Progress
  • Vol. 58, Issue 3, 3120031 (2021)
Yin Xi1, Wan Shengpeng1、2、*, Xiong Xinzhong1, Dong Dezhuang1, Liu Heng1, Xiao Deng1, and Lei Ying1
Author Affiliations
  • 1Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang , Jiangxi 330063, China
  • 2National Engineering Laboratory for Nondestructive Testing and Optoelectric Sensing Technology and Application, Nanchang Hangkong University, Nanchang , Jiangxi 330063, China
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    DOI: 10.3788/LOP202158.0312003 Cite this Article Set citation alerts
    Yin Xi, Wan Shengpeng, Xiong Xinzhong, Dong Dezhuang, Liu Heng, Xiao Deng, Lei Ying. Study of a Optical Fiber Acoustic Sensing System Based on F-P Microcavity Structure[J]. Laser & Optoelectronics Progress, 2021, 58(3): 3120031 Copy Citation Text show less
    Sensor head structure. (a) Main view; (b) left view
    Fig. 1. Sensor head structure. (a) Main view; (b) left view
    Schematic of F-P microcavity sensing
    Fig. 2. Schematic of F-P microcavity sensing
    Fabricated GO diaphragm
    Fig. 3. Fabricated GO diaphragm
    Packaged sensor head. (a) Spectrometer display at the maximum interference contrast; (b) encapsulated F-P sensor head
    Fig. 4. Packaged sensor head. (a) Spectrometer display at the maximum interference contrast; (b) encapsulated F-P sensor head
    Optical fiber acoustic sensor syQstem based on F-P microcavity structure
    Fig. 5. Optical fiber acoustic sensor syQstem based on F-P microcavity structure
    Speech signals collected by the system
    Fig. 6. Speech signals collected by the system
    Wavelet packet decomposition tree
    Fig. 7. Wavelet packet decomposition tree
    Multiple-frame comparison method
    Fig. 8. Multiple-frame comparison method
    Trend term eliminated by least square method. (a) Speech signals collected by the system; (b) speech signals after elimination trend terms
    Fig. 9. Trend term eliminated by least square method. (a) Speech signals collected by the system; (b) speech signals after elimination trend terms
    Signal before and after Wiener denoising. (a) Speech signal;(b) speech signal after Wiener denoising
    Fig. 10. Signal before and after Wiener denoising. (a) Speech signal;(b) speech signal after Wiener denoising
    Speech spectra before and after Wiener denoising. (a) Speech spectrum; (b) speech spectrum after Wiener denoising
    Fig. 11. Speech spectra before and after Wiener denoising. (a) Speech spectrum; (b) speech spectrum after Wiener denoising
    Reconstructed graphs of one-dimensional wavelet packet coefficient
    Fig. 12. Reconstructed graphs of one-dimensional wavelet packet coefficient
    One-dimensional wavelet packet coefficient after Wiener denoising
    Fig. 13. One-dimensional wavelet packet coefficient after Wiener denoising
    Speech signal graph and speech spectrum graph obtained by Wiener denoising method based on wavelet packet transform. (a) Speech signal graph; (b) speech spectrum graph
    Fig. 14. Speech signal graph and speech spectrum graph obtained by Wiener denoising method based on wavelet packet transform. (a) Speech signal graph; (b) speech spectrum graph
    Yin Xi, Wan Shengpeng, Xiong Xinzhong, Dong Dezhuang, Liu Heng, Xiao Deng, Lei Ying. Study of a Optical Fiber Acoustic Sensing System Based on F-P Microcavity Structure[J]. Laser & Optoelectronics Progress, 2021, 58(3): 3120031
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