• Laser & Optoelectronics Progress
  • Vol. 54, Issue 10, 100604 (2017)
Li Zhibin*, Huang Qitao, Liu Chang, and Xiong Jie
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop54.100604 Cite this Article Set citation alerts
    Li Zhibin, Huang Qitao, Liu Chang, Xiong Jie. Wavelet Transform Based Peak Localization of Overlapped Fiber Bragg Grating Signal[J]. Laser & Optoelectronics Progress, 2017, 54(10): 100604 Copy Citation Text show less
    References

    [1] Chen Zhijun, Bai Jian, Wu Zutang, et al. Optimization and comparison of the peak-detection algorithms for the reflection spectrum of fiber Bragg grating[J]. Acta Photonica Sinica, 2015, 44(11): 1112001.

    [2] Xu Changming. Research of fiber grating sensor demodulation system based on tunable F-P filter[D]. Chengdu: University of Electronic Science and Technology of China, 2013.

    [3] Hu Zhengwen, Pang Chengxin, Cheng Fengyu. Research on the application of Gaussian-LM algorithm in FBG reflection spectrum search peak[J]. Laser & Optoelectronics Progress, 2017, 54(1): 013001.

    [4] Chen Yong, Yang Kai, Liu Huanlin. Aself-adaptive peak detection algorithm to process multi-peak fiber Bragg grating sensing signal[J]. Chinese J Lasers, 2015, 42(8): 0805008.

    [5] Yu Youlong, Wang Xuewei, Wang Hao. Analysis ofpeak-detection algorithms in fiber Bragg grating by different sampling methods[J]. Acta Photonica Sinica, 2012, 41(11): 1274-1278.

    [6] Zhu Haohan, Qin Haikun, Zhang Min, et al. Peak-detection algorithm in the demodulation for the fiber Bragg grating sensor system[J]. Chinese J Lasers, 2008, 35(6): 893-897.

    [7] Chen Pengfei, Tian Di, Qiao Shujun, et al. An automatic peak detection method for LIBS spectrum based on continuous wavelet transform[J]. Spectroscopy and Spectral Analysis, 2014, 34(7): 1969-1972.

    [8] Du P, Kibbe W A, Lin S M. Improved peak detection in mass spectrum by incorporating continuous wavelet transform-based pattern matching[J]. Bioinformatics, 2006, 22(17): 2059-2065.

    [9] Liu Nian. Feature recognition of mass spectrometry data based on continuous wavelet transform[D]. Changsha: Hunan Normal University, 2016.

    [10] Farkov Y A, Rodionov E A. On biorthogonal discrete wavelet bases[J]. International Journal of Wavelets Multiresolution & Information Processing, 2015, 13(1): 1550002.

    [11] Chen Zexin. The selection of wavelet base in malfunction diagnosis[J]. Mechanical Science and Technology, 2005, 24(2): 172-175.

    [12] Li Yu, Wang Shengwei, Lin Zhaopei. Basis selection for the analyzing of overlapping chromatographic peaks in wavelets domain[J]. Journal of East China University of Science and Technology, 2014, 40(6): 752-757.

    [13] Xu Jianxiong, Zhao Youqun, Liu Yingjie. Wavelet basis selection for denoising experimental data of steering wheel angle[J]. Mechanical Science and Technology, 2013, 32(6): 809-813.

    [14] Jiang Yonghua, Tang Baoping, Chen Fafa. Wavelet ridge extraction method based on optimal reassigned wavelet scalogram[J]. Journal of Vibration, Measurement & Diagnosis, 2012, 32(1): 62-67.

    [15] Chen Yungu. Wavelet ridge-extraction algorithms and applications[D]. Guiyang: Guizhou University, 2010.

    [16] Qiao H L. New SVD based initialization strategy for non-negative matrix factorization[J]. Pattern Recognition Letters, 2015, 63: 71-77.

    [17] Jiang Desheng, Fan Dian, Mei Jiachun. Multiplexing/Demultiplexing technology based on fiber Bragg grating sensors[J]. Laser & Optoelectronics Progress, 2005, 42(4): 14-19.

    Li Zhibin, Huang Qitao, Liu Chang, Xiong Jie. Wavelet Transform Based Peak Localization of Overlapped Fiber Bragg Grating Signal[J]. Laser & Optoelectronics Progress, 2017, 54(10): 100604
    Download Citation