| [1] | WANG H, SUN Q Zh, LI X L, et al. Progress in optical fiber interferometer based distributed vibration sensing technology[J].Laser Optoelectronics Progress, 2013, 50(2):30-41(in Chinese). |
| [2] | LI X L, SUN Q Zh, WO J H, et al. Hybrid TDM/WDM-based fiber-optic sensor network for perimeter intrusion detection[J]. Journal of Lightwave Technology, 2012, 30(8):1113-1120. |
| [3] | SUN Q Zh, LIU D M, WANG J. Recent progress in distributed optical fiber stress sensor[J].Semiconductor Optoelectronics, 2007, 28(1):10-15(in Chinese). |
| [4] | HU Zh S, YANG Q H, QIAO B. Design of interference distributed fiber-optic underwater long gas pipeline leakage detection system[J]. Laser Optoelectronics Progress, 2012, 49(7):73-77(in Chinese). |
| [5] | SUN Q Zh, LIU D M, WANG J, et al. Distributed fiber-optic vibration sensor using a ring Mach-Zehnder interferometer[J]. Optics Communications, 2008, 281(6):1538-1544. |
| [6] | HE C F, ZHENG X Q, LUO J W, et al. Research on a pipeline leakage detection system and its stability based on depolarized Sagnac fiber interferometer[J]. Chinese Journal of Lasers, 2012, 39(2):148-152(in Chinese). |
| [7] | HANG L J, HE C F, WU B. A new pipeline leakage detection system based on linear optical fiber Sagnac interferometer and its location technology[J].Chinese Journal of Lasers, 2007,34(6):820-824(in Chinese). |
| [8] | GE S X. Research on distributed fiber optic vibration sensor[D].Hangzhou:Zhejiang University, 2012:1-13(in Chinese). |
| [9] | WAN X, DU T T, ZHANG Zh M, et al. Positioning approach based on Mach-Zehnder fiber sensors and a DSP processor[J].Proceedings of the SPIE, 2013, 9044:90440T. |
| [10] | GUO Ch Y, ZHENG K. Denoising optical interferometry signal based on wavelet transform threshold[J].Laser Technology, 2009, 33(5):506-508(in Chinese). |
| [11] | SU X F. Data acquisition and processing of distributed optical fiber vibration sensor system[D].Beijing:Beijing University of Posts and Telecommunications, 2010:1-56(in Chinese). |
| [12] | LV X Y, WANG H X. Abnormal audio recognition algorithm based on MFCC and short-term energy[J].Journal of Computer Applications, 2010, 30(3):796-798(in Chinese). |
| [13] | HAN Y, WANG G Y, YANG Y. Speech emotion recognition based on MFCC[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2008, 20(5):597-602(in Chinese). |
| [14] | HOSSEINZADEH D, KRISHNAN S. Combining vocal source and MFCC features for enhanced speaker recognition performance using GMMs[C]//Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing.New York,USA:IEEE,2007:365-368. |
| [15] | TIAN Sh Sh, TANG W, SHE W. Research of improved MFCC parameters in signer-independent speech recognition[J].Bulletin of Science and Technology, 2013, 29(3):139-142(in Chinese). |