Multi-scale wavelet decomposition and its application in distributed optical fiber fences

Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks

“…These techniques are time-consuming, and will decrease the maximum detectable frequency of φ-OTDR systems. Multiscale wavelet decomposition 14 , Gaussian mixture models 15,16 , and Morphologic feature extraction 17 have been used as pattern recognition (PR) tools. However, the fundamental issue of weak backscattering signals in telecom-grade optical fibers still limits the performance of fiber-optic DAS sensors.…”