@article{(Open Science Index):https://publications.waset.org/pdf/10002095,
	  title     = {Robust Adaptation to Background Noise in Multichannel C-OTDR Monitoring Systems},
	  author    = {Andrey V. Timofeev and  Viktor M. Denisov},
	  country	= {},
	  institution	= {},
	  abstract     = {A robust sequential nonparametric method is proposed
for adaptation to background noise parameters for real-time. The
distribution of background noise was modelled like to Huber
contamination mixture. The method is designed to operate as an
adaptation-unit, which is included inside a detection subsystem of an
integrated multichannel monitoring system. The proposed method
guarantees the given size of a nonasymptotic confidence set for noise
parameters. Properties of the suggested method are rigorously
proved. The proposed algorithm has been successfully tested in real
conditions of a functioning C-OTDR monitoring system, which was
designed to monitor railways.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {9},
	  year      = {2015},
	  pages     = {2076 - 2080},
	  ee        = {https://publications.waset.org/pdf/10002095},
	  url   	= {https://publications.waset.org/vol/105},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 105, 2015},
	}